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The Complete Python Automation and Machine Learning Bundle
LEVEL 0 - Intro to Python
00. Introduction (4:47)
01. Intro To Python (5:46)
0 - 01 Code Python on the Web
02.01 What is Google Colab (4:24)
02.02 What If I Get Errors (2:39)
02.03 How Do I Terminate a Session (2:40)
0 - 02 Python Language Fundamentals
02. Variables (19:34)
03. Type Conversion Examples (10:21)
04. Operators (7:21)
05. Operators Examples (22:09)
06. Collections (8:39)
07. Lists (11:55)
08. Multidimensional List Examples (8:22)
09. Tuples Examples (8:51)
10. Dictionaries Examples (14:41)
11. Ranges Examples (8:46)
12. Conditionals (6:58)
13. If Statement Examples (10:32)
14. If Statement Variants Examples (11:35)
15. Loops (7:17)
16. While Loops Examples (11:47)
17. For Loops Examples (11:35)
18. Functions (8:04)
19. Functions Examples (9:33)
20. Parameters And Return Values Examples (14:08)
21. Classes and Objects (11:30)
22. Classes Example (13:28)
23. Objects Examples (10:10)
24. Inheritance Examples (17:43)
25. Static Members Example (11:20)
26. Summary and Outro (4:23)
Python_Language_Basics
Intro to Python Slides
LEVEL 1 - 01 Work with text files
01 Create And Read A New Text File (6:29)
02 Read And Write A Text File With A Loop (7:14)
03 Copy Contents Of A File (4:05)
Source files
02 Work with csv files
01 Print Csv Contents (4:25)
02 Print Csv As List (3:00)
03 Create A Csv File (3:35)
Source files
03 Work with json files
01 Read And Write To A Json File (3:15)
Source files
04 Work with Excel files
01 Inspect Excel Sheets (5:07)
02 Merge Excel Files (13:45)
03 Get Value From Cell In Excel Sheet (7:12)
04 Display Entire Excel Sheet Contents (3:48)
05 Create A New Excel File With Values (2:35)
Source files
05 Automate files with OS Module
01 Find A File By Name (3:17)
02 Check If File Or Directory Path Exists (3:03)
03 List All Files And Directories At A Path (2:51)
04 Find All Files Of Given Type (2:56)
05 Delete Old Files With Datetime Module (6:24)
06 Bulk Rename Files (4:54)
Source files
06 Work with exceptions
01 Handle Exceptions (4:21)
02 Use Asserts (3:24)
Source files
07 Search documents for words
01 Search Txt File (4:14)
02 Search Csv File (2:12)
Source files
08 Format data
01 Format Data Into Table (6:31)
02 Visualize Product Sales Per Quarter (9:37)
Source files
LEVEL 2 - Python Regular Expressions - 01 Search through data with regex
01 Search For String In Text (2:34)
02 Find Characters By Type (2:49)
Source files
02 Find expressions that match conditions
01 Find Words Of Specific Length Starting With Specific Letter (8:17)
02 Find Expression Containing Numbers And Symbols In A Specific Format (4:23)
03 Find Expression Of A Specific Format (5:10)
04 Search Ignoring Capitalization (1:19)
05 Find Words At Beginning Or End Of Line (3:45)
06 Find Independent Words (2:34)
Source Files
03 Search for anomalies
01 Find Repeating Characters (3:47)
02 Search For Multiple Expressions At Once (7:59)
03 Make A Dictionary Of Expressions Found (4:05)
Source files
04 Data manipulation with regex
01 Remove Whitespaces (2:57)
02 Split String On Word (3:29)
Source files
LEVEL 3 - Scrape the Web - Python and Beautiful Soup Bootcamp - Overview
00 What Is Web Scraping (5:39)
01 What You'll Need (1:30)
Source Files
Introduction to Python (Prerequisite)
00. Intro To Course And Python (9:57)
01. Variables (19:19)
02. Type Conversion Examples (10:06)
03. Operators (28:54)
04. Collections (8:24)
05. List Examples (19:41)
06. Tuples Examples (8:36)
07. Dictionaries Examples (14:26)
08. Ranges Examples (8:32)
09. Conditionals (6:43)
10. If Statement Examples (21:32)
11. Loops (29:42)
12. Functions (17:01)
13. Parameters And Return Values Examples (13:54)
14. Classes And Objects (34:11)
15. Inheritance Examples (17:29)
16. Static Members Examples (11:05)
17. Summary And Outro (4:08)
Source Files
03 Web Scraping with Beautiful Soup in Python
02 Build An Html Webpage To Scrape (12:42)
03 Select Data Structures From A Webpage (5:48)
04 Extract Urls And Text (5:24)
05 Work With Tags (8:06)
06 Work With Attributes (5:18)
07 Add Navigation To A String (5:29)
08 Navigate Html Contents (7:16)
09 Find All Filter (4:51)
Source Files
Web Automation with Selenium Python - 00 Getting Started with Selenium
00.00 What You'll Learn (5:42)
00.01 Install Selenium (9:11)
00.02 Download Visual Studio Code (4:10)
00 Source Files
01 Automate Finding Elements
01.01 Find Elements By Name (14:50)
01.02 Find Elements By Id (7:34)
01.03 Find Elements By Xpath (12:29)
01.04 Find Input Field By Xpath (13:44)
01.05 Find Elements By CSS Selector (9:14)
01.06 Find Elements By Link Text (7:47)
01.07 Find Elements By Partial Link Text (8:05)
01.08 Find Elements By Classname (6:22)
01.09 Find Elements By Tagname (7:29)
Source Files
02 Beginner's Automation with Selenium
02.01 Automate A Google Search (19:41)
02.02 Automate Navigating A Dropdown Menu (16:22)
02.03 Automate Changing Tabs (15:41)
02.04 Automate Alert Popups (13:26)
02 Source Files
03 Avoid Errors with Waits
03.01 Explicit Waits (21:03)
03.02 Implicit Waits (8:45)
Source Files
04 Automate Browsers Commands
04.02 Get Title And URL (4:12)
04.01 Automate Window Size (12:04)
04.03 Automate Closing Vs Quitting Windows (4:06)
Source Files
05 Automate Mouse Actions
05.01 Mouse Hover (14:01)
05.03 Right Click (6:26)
05.02 Automate Mouse Click (7:39)
05.04 Automate Double Click (8:36)
05.05 Click, Hold And Release (7:17)
05 Source Files
06 Automate Images
06.01 Web Scrape Images (13:29)
06.02 Automate Downloading Images (27:34)
Source Files
Data Mining with Python! Real-Life Data Science Exercises - 0 Data Mining Introduction
Introduction to Data Mining (9:30)
Project Files
01. Data Wrangling - A Complete Overview
Data Wrangling Demystified (63:56)
Project Filese
02. Data Mining Fundamentals
01. Cluster Analysis (20:08)
02. Classification and Regression (34:30)
03. Association and Correlation (13:10)
04. Dimensionality Reduction (25:38)
Project Files - Data Mining fundamentals with Mammoth Interactive
03. Frameworks Explained - Taming Big Data with Spark
01. Apache Spark - An Overview Of The Framework (26:36)
02. Spark Key Functions (20:26)
03. Spark Machine Learning (7:32)
04. EXAMPLES - Using The Machine Learning Pipeline (6:16)
Project Files
04. EXAMPLES - Mining and Storing Data
01. Text Mining (15:05)
02. Network Mining (10:11)
03. Matrix (7:16)
04. SQL (12:35)
Mining and Storing with Mammoth Interactive
05. NLP (Natural Language Processing)
01 NLP Data Cleaning (6:55)
02. Count Vectorizer (7:58)
03. NLP Example with Spam (9:59)
04. Tweak Model with Spam Data (5:32)
05. Pipeline with Spam Data (4:48)
Project Files - NLP with Mammoth Interactive
06. Conclusion and Summary
06. Conclusion and Challenge (4:40)
07 Conclusion Files - Mammoth Interactive
08 Please rate this course
Bonus Lecture - Mammoth Interactive Deals
Automate Excel Files with Python OpenPyXL - 01 Introduction
01.00 Course Overview (2:20)
01.01 Run Openpyxl on the Web (1:45)
Source Files
02 Use OpenPyXL and Sheets
02.01 Make a Workbook (11:01)
02.02 Save a Workbook (3:51)
02.03 Read a Workbook (8:02)
02.04 Work with Rows and Columns (8:07)
02.05 Use a Formula (8:41)
02.06 Use Dates (7:18)
02.07 Merge and Unmerge Cells (7:11)
02.08 Fold a Range (6:17)
02.09 Make a New Sheet (3:17)
02.10 Copy Data to a Sheet (4:35)
02.11 Remove a Sheet (3:45)
02 Source Files
03.01 Worksheet Tables
03.01 Build a Table (15:50)
03.02 Style a Table (8:55)
03.01 Source Files
03.02 Format Cells
03.01 Import Dataset (4:19)
03.02 Style a Cell (6:47)
03.03 Make a Named Style (6:57)
03.04 Copy a Style (4:59)
Source Files
04 Build 2D Charts
04.01 Make a Chart (11:04)
04.02 Build Line Charts (15:30)
04.03 Build a Pie Chart (14:09)
04.04 Build a Scatter Chart (11:22)
04.05 Build an Area Chart (8:21)
04 Source Files
05 Project_ Employee Timelog
05.01 Project Setup (4:29)
05.02 Expand Columns to Fit Content (6:35)
05.03 Add Dates (7:34)
05.04 Add Days of the Week (7:11)
05 Source Files
06 Write to a Text File
06.01 Read Spreadsheet Data (7:11)
06.02 Store Spreadsheet Data (3:39)
06.03 Write to a Text File (5:21)
06 Source Files
07 Update a Spreadsheet
07.01 Set Up Update Information (3:44)
07.02 Update the Spreadsheet (5:41)
07 Source Files
08 More Chart Types
08.01 Build a Stock Chart (9:13)
08.02 Build a Doughnut Chart (9:22)
08.03 Build a Bubble Chart (8:53)
08 Source Files
09 Web Scraping
09.01 Import Web Driver (8:06)
09.02 Scrape a Web Page (6:06)
09.03 Parse Page Data (9:17)
09.04 Put Data into Excel Sheet (6:22)
09.05 Clean Data (4:38)
09 Source Files
Beginners Excel VBA - 01-02 Introduction
01.00 Course Overview (2:24)
01.01 How To Save Macros (1:34)
01-02 Source Files
03 Send Messages with MsgBox
03.00 Topics Overview (0:53)
03.01 Build A Simple Message (3:34)
03.02 Build An Advanced Message (5:10)
03.03 Empty A Sheet With The Msgbox Function (6:44)
03.04 Prompt User For Input (7:29)
03 Source Files
04 Workbook and Worksheet Object
04.00 Topics Overview (1:30)
04.01 Object Hierarchymp4 (5:10)
04.02 Change Multiple Worksheets (7:05)
04.03 Add And Count Worksheets (6:01)
04.04 Get Path Of A Workbook (5:14)
04.05 Open And Close Workbooks (8:41)
04.06 Loop Through Worksheets And Workbooks (8:19)
04.07 Build A Sales Calculator (11:53)
04.08 Change Charts (10:30)
04 Source Files
05 Work with the Range Object
05.00 Topics Overview (1:22)
05.01 Program A Range Of A Spreadsheet (6:55)
05.02 Use Cells Instead Of A Range (6:04)
05.03 Use A Range Variable (6:04)
05.04 Select A Range (4:52)
05.05 Access A Row (4:35)
05.06 Copy And Paste A Range (8:45)
05.07 Clear A Range (3:59)
05.08 Count A Range (4:21)
05 Source Files
06 Work with Range Properties
06.00 Topics Overview (1:03)
06.01 Find The Current Region Of A Cell (7:23)
06.02 Dynamic Range Program (7:11)
06.03 Resize A Range (2:30)
06.04 Select Entire Rows And Columns (6:33)
06.05 Offset Property (3:32)
06.06 End Property (5:06)
06 Source Files
07 More Range Projects
07.00 Topics Overview (1:21)
07.01 Union And Intersect Of Ranges (4:24)
07.02 Detect Content (5:37)
07.03 Build A Range Program (5:47)
07.04 Change Text Color (4:30)
07.05 Bold A Range (2:39)
07.06 Change Cell Color (5:04)
07.07 Work With Areas (4:55)
07.08 Find Differences In Ranges (8:17)
07 Source Files
08 Variables
08.00 Topics Overview (1:38)
08.01 Integer Data Type (2:58)
08.02 String Data Type (2:20)
08.03 Double Data Type (2:54)
08.04 Boolean Data Type (4:05)
08.05 Retain Variable Value (2:54)
08 Source Files
09 Work with Conditionals
09.00 Topics Overview (1:26)
09.01 If Then Statement (4:38)
09.02 Else Statement (4:55)
09 Source Files
10 Work with AND, OR and NOT
10.00 Topics Overview (1:21)
10.01 Greeting Program - Logical Operator And (4:00)
10.02 Logical Operator Or (5:36)
10.03 Logical Operator Not (3:15)
10 Source Files
11 Build Conditionals Projects
11.00 Topics Overview (1:58)
11.01 Select Case (5:42)
11.02 Build A Commission Calculator Project (6:11)
11.03 Find Remainder With Mod (3:11)
11.04 Check Number Program (6:38)
11.05 K Smallest Value Program (6:54)
11.06 Group By Font Style (6:45)
11.07 Remove Empty Cells (5:26)
11 Source Files
Intermediate Excel VBA (Course 2) - Intro to loops
12.00.00 Course Overview (2:50)
12.00 Topics Overview (0:57)
12.01 Single Loop (5:59)
12.02 Double Loop (5:14)
12.03 Triple Loop (6:24)
12.04 Do While Loop (5:34)
12.05 Build A Commission Table (5:33)
12 Source Files
13 Loop Projects
13.00 Topics Overview (1:40)
13.01 Loop Through Defined Range (3:37)
13.02 Loop Through Entire Column (3:29)
13.03 Do Until Loop (3:22)
13.04 Use Step To Increment (4:22)
13.05 Build A Pattern Project (4:49)
13.06 How To Sort (5:32)
13.07 Sort By Related Data (8:15)
13.08 Delete Duplicate Values (6:10)
Source Files
14 String Manipulation
14.00 Topics Overview (1:28)
14.01 Join Strings (3:13)
14.02 Extract Substrings From Left Or Right (3:07)
14.03 Extract Substring At Middle (4:12)
14.04 Get Length Of A String (2:40)
14.05 Get Substring Position (3:16)
14.06 How To Split Strings (4:56)
14.07 Reverse Characters (4:10)
14.08 Change String Casing (3:28)
14.09 Count Words In A Range (8:17)
Source Files
15 Build Custom Functions
15.02 Pass Arguments To A Function (7:43)
15.01 Make And Use Your Own Function (6:33)
15.00 Topics Overview (1:19)
15.03 Custom Calculator Function (6:22)
Source Files
16 Build Arrays
16.00 Topics Overview (1:18)
16.01 One Dimensional Array (5:46)
16.02 Two Dimensional Array (6:25)
16.03 Change Array Size (4:54)
16.04 Build An Array (5:09)
16.05 Populate Row With Array (3:21)
16.06 Array Length (6:47)
16.07 Split String Into An Array (4:28)
16.08 Join Array Into A String (3:49)
Source Files
17 Work with Dates
17.00 Topics Overview (1:12)
17.01 Delay A Procedure (4:12)
17.02 Schedule A Procedure (4:18)
17.03 Count Years (5:20)
17.04 Count Days Between Dates (2:41)
17.05 Count Weekdays Between Dates (4:51)
17.06 Sort Dates (6:27)
17 Source Files
18 Application Object
18.00 Topics Overview (1:36)
18.01 How To Access Excel Functions (4:28)
18.02 Disable Screen Updating (3:19)
18.03 Disable Alerts (3:38)
18.04 Show Progress Of Macro_1 (6:35)
18.05 Read Data From A File (6:35)
18.06 Write Data To A File (5:10)
18 Source Files
19 VBA Projects
19.00 Topics Overview (0:52)
19.01 Build A Table (4:47)
19.02 Build A Table Of Contents (11:47)
19.03 Build A Table Of Contents 2 (4:42)
19.04 Combine Worksheets (17:42)
19.05 Combine Worksheets By Column (15:48)
19 Source Files
20 Programming Charts
20.00 Topics Overview (1:20)
20.01 Program A Chart (6:12)
20.02 Program An Embedded Chart (4:59)
20.03 Delete Charts Programatically (2:19)
20 Source Files
LEVEL 4 Introduction to Machine Learning and Python Data Science - 1. NumPy
00. Course Intro (5:11)
01. Intro to Numpy (6:20)
02. Installing Numpy (3:59)
03. Creating Numpy Arrays (16:55)
04. Creating Numpy Matrices (11:57)
05. Getting and Setting Numpy Elements (16:59)
06. Arithmetic Operations on Numpy Arrays (11:56)
07. Numpy Functions Part 1 (19:13)
08. Numpy Functions Part 2 (12:36)
09. Summary and Outro (3:01)
Source Files
2. PyPlot
00. Course Intro (5:30)
01. Intro to Pyplot (5:10)
02. Installing Matplotlib (5:51)
03. Basic Line Plot (7:53)
04. Customizing Graphs (10:47)
05. Plotting Multiple Datasets (8:10)
06. Bar Chart (6:26)
07. Pie Chart (9:13)
08. Histogram (10:14)
09. 3D Plotting (6:28)
10. Course Outro (4:09)
Pyplot Code
3. Pandas
00. Panda Course Introduction (5:43)
01. Intro to Pandas (7:55)
02. Installing Pandas (5:28)
03. Creating Pandas Series (20:34)
04. Date Ranges (11:29)
05. Getting Elements from Series (19:20)
06. Getting Properties of Series (13:04)
07. Modifying Series (19:01)
13. DataFrame Operations (20:09)
08. Operations on Series (11:48)
09. Creating Pandas DataFrames (22:57)
10. Getting Elements from DataFrames (25:12)
11. Getting Properties from DataFrames (17:44)
12. Dataframe Modification (36:24)
15. Reading CSVs (12:00)
14 DataFrame Comparisons and Iteration (15:35)
16. Summary and Outro (4:14)
Source Files
4. Machine Learning theory
00. Course Intro.mp4 (6:04)
01. Quick Intro to Machine Learning (9:00)
02. Deep Dive into Machine Learning (6:01)
03. Problems Solved with Machine Learning Part 1 (13:26)
04. Problems Solved with Machine Learning Part 2 (16:25)
05. Types of Machine Learning (10:15)
06. How Machine Learning Works (11:40)
07. Common Machine Learning Structures (13:51)
08. Steps to Build a Machine Learning Program (16:34)
09. Summary and Outro (2:49)
Intro to Machine Learning Slides
Build Machine Learning Models - 00a Intro to Tensorflow
00. Course Intro (6:10)
01. Intro to Tensorflow.mov (5:32)
02. Installing Tensorflow (3:52)
03. Intro to Linear Regression (9:26)
04. Linear Regression Model - Creating Dataset (5:49)
05. Linear Regression Model - Building the Model (7:22)
06. Linear Regression Model - Creating a Loss Function (5:57)
07. Linear Regression Model - Training the Model (12:42)
08. Linear Regression Model - Testing the Model (5:22)
09. Summary and Outro (2:55)
Source Files
00b Image Recognition with MNIST
00. Course Intro (6:57)
01. Intro to Image Recognition (6:40)
02. Intro to MNIST (4:42)
03. Building a CNN Part 1 - Obtaining Data (15:40)
04. Building a CNN Part 2 - Building the Model (10:14)
05. Building a CNN Part 3 - Adding Loss and Optimizer Functions (4:57)
06. Building a CNN Part 4 - Train and Test Functions (10:58)
07. Building a CNN Part 5 - Train and Test the Model (9:17)
08. MNIST Image Recognition with Keras Sequential Model (13:23)
09. Summary and Outro (2:55)
Source Files
01 Build Beginner Models in TensorFlow 2.0
01 Course Overview (3:30)
02 Build Models On The Web (5:06)
Source Files
02 AI Uninformed Search Algorithms
01 What Are Search Algorithms (7:20)
02 Depth First Search (9:00)
02b Build A Depth First Search Algorithm (8:26)
03 What Is Breadth First Search (bfs) (5:08)
03b Build A Breadth First Search Algorithm (6:55)
04 Depth Limited Search (3:57)
05 Iterative Deepening Depth First Search (5:32)
06 What Is Uniform Cost Search (6:04)
06b Build A Uniform Cost Search Algorithm (8:07)
07 Bidirectional Search (4:43)
Source Files
03 AI Informed Search Algorithms
01 What Are Informed Search Algorithms (4:07)
02 What Is Greedy Best-first Search (8:16)
02b Build A Greedy Best First Search Algorithm (10:43)
03 What Is A Search (5:10)
Source Files
04 How Machine Learning Works
01 How Does A Machine Learning Agent Learn (7:37)
02 What Is Inductive Learning (4:10)
03 Make Decisions With Decision Trees (10:49)
04 Performance Of A Machine Learning Algorithm (4:13)
05 Handle Noise In Data (5:20)
06 Statistical Learning (3:56)
Source Files
05 Logistic Regression
05.01 What Is Logistic Regression (4:26)
05.02 Prepare Data For Logistic Regression (12:19)
05.03 How To Prepare Data (8:52)
05.04 Build A Logistic Regression Model (5:29)
05.04a How To Build A Logistic Regression Model (3:28)
05.04b What Is Optimization (12:10)
05.05 Optimize The Logistic Regression Model (12:44)
05.05a How To Optimize A Logistic Regression Model (12:45)
05.06 Train The Model (10:09)
05.07 Test The Model (2:33)
05.08 Visualize Results (5:38)
05 Source Files
06 Gradient Boosted Classification
06.01 What Is Gradient Boosting (1:54)
06.02 Prepare Data For Gradient Boosted Classification (7:19)
06.03 Build Binary Classes (6:12)
06.04a How To Shape Data For Classification (2:57)
06.04b Shape Data For Classification (7:06)
06.05a How To Build A Boosted Trees Classifier (4:03)
06.05b Build A Boosted Trees Classifier (4:37)
06 Source Files
07 Gradient Boosted Regression
07.01 Build Input Functions (3:55)
07.02 Build A Boosted Trees Regressor (3:02)
07.03 Train And Evaluate The Model (4:07)
07 Source Files
08 Supervised Learning Introduction
01 What You'll Learn (8:47)
02 What Is Supervised Learning (14:41)
03 Build Models On The Web (5:06)
Source Files
Data Science with Stocks, Excel and Machine Learning - 00 Overview
00.00 Course Overview (5:43)
00 Source Files
01 Project_ Track Stocks in Excel
01.00 What You'll Learn (2:01)
01.01 Pull In Stock Data (8:21)
01.02 Pull In More Stock Information (5:08)
01.03 Calculate Equity And Returns (11:56)
01.04 Calculate Selling Strategy (9:25)
01.05 Calculate Total Returns (4:28)
01 Source Files
02A Other Techniques of Stock Prediction in Excel
02.01 Pull Historical Stock Data (2:31)
02.02 Predict Stocks With Moving Average (9:34)
02.03 Visualize Accuracy (3:48)
02.04 What Is Exponential Smoothing (4:15)
02.05 Predict Stocks With Exponential Smoothing (7:37)
02 Source Files
02B Linear Regression on Stock Data in Excel
02.00 What You'll Learn-1 (1:46)
02.01 Pull Historical Stock Data-2 (5:49)
02.02 What Is Linear Regression-3 (4:45)
02.03 Linear Regression On Stock Data In Excel-4 (8:04)
02.04 Check Accuracy Of Linear Regression-5 (12:53)
02b Source Files
03A Machine Learning Project Introduction
03.00 What You'll Learn-1 (2:01)
03.01 Build Models On The Web-2 (5:05)
03.02 What Libraries Will We Use-3 (5:56)
Source Files
03B Your First Machine Learning Stock Prediction Project
03.01 Scrape Data Via Api-1 (16:42)
03.02 Define Variables-2 (11:36)
03.03 Split Dataset For Training And Testing-3 (7:33)
03.04 Build A Linear Regression Model-4 (9:16)
03.05 Predict Stock Prices-5 (10:14)
03.06 Calculate Model Accuracy-6 (14:17)
03.07 Predict To Buy Or To Sell-7 (7:23)
03 Source Files
04 Deep Learning Project for Stock Market Prediction
04.00 Recurrent Neural Networks-1 (6:23)
04.01 Import Stock Data-2 (9:19)
04.02 What Is Shaping Data-3 (5:18)
04.03 Shape Training And Testing Data-4 (12:06)
04.04 What Is Scaling Data-5 (6:35)
04.05 Scale Data For Training-6 (11:24)
04.06 What Is Keras-7 (3:24)
04.07 Build A Keras Model-8 (14:03)
04.08 Scale And Shape Data For Testing-9 (5:33)
04.09 Test The Model-10 (5:15)
04 Source Files
Building Neural Networks - Linear Algebra for Deep Learning
01 Scalar-1 (4:40)
02 Vector-2 (7:36)
03 Matrix-3 (8:21)
04 Tensor-4 (6:51)
Source Files
08 Matrix Operations
01 Matrix-matrix Addition (4:53)
02 Matrix-scalar Addition (1:59)
03 Matrix-scalar Multiplication (2:06)
04 Matrix Multiplication (2:34)
Source Files
09 Build a Neural Network from Scratch
09.01 What Is A Neural Network (8:02)
09.02 Prepare Data (8:31)
09.03 Shuffle And Batch Data (3:26)
09.04 Build Weights And Biases (6:25)
09.05 Build A Neural Network From Scratch (5:28)
09.06 Optimize The Model (10:20)
09.07 Train And Evaluate The Model (11:36)
09.08 Test And Visualize The Neural Network (9:57)
09 Source Files
11 Build a Convolutional Neural Network from Scratch
11.01 What Is A Convolutional Neural Network-1 (4:32)
11.02 Prepare Data For A Convolutional Neural Network-2 (4:09)
11.03 Shuffle And Batch Data-3 (2:17)
11.04 Build Weights And Biases-4 (8:48)
11.05 What Are Wrappers-5 (18:09)
11.06 Build A Convolutional Neural Network From Scratch-6 (9:57)
11.07 What Is The Adam Optimizer-7 (13:20)
11.08 Train And Evaluate The Model-8 (10:32)
11.09 Test And Visualize The Convolutional Neural Network-9 (7:49)
11 Source Files
12 Convolutional Neural Networks CIFAR-Image Classification
Source Files
03 Define Classes And Visualize Dataset-3 (8:31)
02 Normalize Image Values-2 (2:21)
12.04 Build A CNN For CIFAR-Image Classification
04a 2D Convolution Layer (10:14)
04b Relu Activation Function (6:40)
04c 2D Max Pooling Layer (9:34)
04d Flatten And Dense Layers (5:33)
04e Build A CNN For CIFAR-image Classification (13:42)
Source Files
12.05 Optimization and Loss
05a How Do You Build An Optimizer For Cifar-image Classification-1 (12:53)
05b How Do You Calculate Loss For Cifar-image Classification-2 (12:05)
05c Build An Optimizer For Cifar-image Clasification-3 (3:01)
Source Files
12.06 Train And Visualize CIFAR-Image Classification
06 Train The CNN For CIFAR-image Classification (8:20)
07 Evaluate And Visualize The CNN (8:07)
Source Files
13 Build a Recurrent Neural Network
13.01 What Is A Recurrent Neural Network-1 (4:58)
13.02 Prepare Data For A Recurrent Neural Network-2 (7:25)
13.03 Shuffle And Batch Data-3 (2:43)
13.04 Build A Recurrent Neural Network-4 (7:42)
13.05 Calculate Accuracy And Loss-5 (4:53)
13.06 Optimize The Neural Network-6 (5:08)
13.07 Train A Recurrent Neural Network-7 (6:09)
13 Source Files
14 Build a Dynamic Recurrent Neural Network
14.01 What Is A Dynamic Neural Network (6:09)
14.02 Generate Sample Data (13:39)
14.03 Shuffle And Batch Data (4:23)
14.04 Build A Dynamic Neural Network (7:34)
14.05 Calculate Accuracy And Loss (5:15)
14.06 Optimize The Neural Network (7:29)
14.07 Train A Dynamic Neural Network (11:55)
14 Source Files
15 Build a Bi-directional Recurrent Neural Network
15.01 What Is A Bi-directional Neural Network (5:46)
15.02 Prepare Data For A Bi-directional Neural Network (8:54)
15.03 Build A Bi-directional Neural Network (8:43)
15.04 Calculate Accuracy And Loss (5:51)
15.05 Optimize The Bi-directional Rnn (5:29)
15.06 Train A Recurrent Neural Network (6:44)
15 Source Files
16 Prepare Data For Image Segmentation
01 Load Data For Image Segmentation (6:01)
02 Normalize Images (2:38)
03 Load Training Images (7:11)
04 Load Testing Images (4:38)
05 Prepare Data For Image Segmentation (6:25)
06 Visualize Images And Masks (5:20)
Source Files
17 Build A Neural Network For Image Segmentation
01 How Do You Build A Neural Network For Image Segmentation (10:04)
02 Set Up A Neural Network (6:36)
03 Build Neural Network Layers (6:32)
04 Compile Optimizer And Loss (2:07)
Source Files
18 Train And Test Image Segmentation
01 Build A Mask (1:34)
02 Visualize Model Progress (5:13)
03 Visualize Model Results (13:36)
04 Plot Model Accuracy (7:50)
05 Test The Neural Network (3:37)
Source Files
19 Word2Vec Sentiment Classification of Words
00 What Is Word2vec (5:19)
Source Files
20 Prepare Data for Word2Vec Sentiment Classification
01 Load Data For Word2vec (7:37)
02 Build Datasets For Word2vec (5:56)
03 Cache And Prefetch Data For Word2vec (1:56)
Source Files
21 Build Layers for Word2Vec
00 How Do You Build An Embedding Layer (2:06)
01 Build A Word2vec Embedding Layer (2:35)
02 Clean Data For Word2vec (4:29)
03 How Do You Vectorize Text (10:20)
04 How Do You Build A Word2vec Sequential Layer (27:14)
Source Files
22 Train And Test Word2Vec
01 Optimizer And Loss For Word2vec (2:24)
02 Train And Test The Word2vec Model (2:50)
03 Visualize Word Embeddings (9:02)
Source Files
Computer Vision and Deep Learning with OpenCV and Python - Overview
01 Course Overview - Opencv (4:51)
02 What You'll Need (2:38)
03 Analyze Images with OpenCV
01 Detect Edges In An Image (8:19)
02 Detect Contours In An Image (11:23)
03 Detect Corners In An Image (9:37)
04 Restore Images with Computational Photography
01 Restore A Damaged Image (18:57)
05 Detect objects in images
01 Detect Objects In An Image With Masking (15:39)
02 Detect Faces In Images (11:31)
03 Extract Foreground In An Image (18:30)
04 Find Object In Image With Template Matching (12:27)
06 Machine learning and neural networks introduction
01 What Is Machine Learning (5:26)
02 What Is Deep Learning (7:42)
03 What Is A Neural Network (8:47)
04 What Is Ml-Agents (5:16)
07 Read text in an image with OCR and Tesseract
01 Extract Text From An Image With Tesseract (13:30)
02 Improve Accuracy With Thresholding (8:10)
03 Change Perspective Of An Image With Foreign Text (15:30)
04 Extract Foreign Language Text From An Image (8:03)
08 Build your first neural network with OpenCV
01 Generate Data (7:08)
02 Build An Artificial Neural Network (9:16)
03 Visualize Model Results (14:30)
09 Object detection with OpenCV Deep Learning
01 Load Yolo Dnn Model (3:18)
02 Build A Neural Network With Opencv (7:44)
03 Print Out Detected Objects (6:44)
04 Outline Objects In The Original Image (21:57)
10 Outline objects in a video
01 Outline Objects In A Video (10:55)
02 Draw Contours On Video (16:30)
03 Save New Frames As A Video (5:04)
11 Detect faces in video
01 Load A Video From Drive (7:39)
02 Detect Faces In Video (10:31)
03 Detect Eyes In Video (6:40)
04 Save New Frames As A Video (7:40)
12 Track a color in videos
02 Save New Frames As A Video (7:14)
01 Track Color In A Video (20:06)
13 Detect lanes for autonomous vehicle computer vision
01 Load A Driving Dash Cam Video (4:04)
02 Process Each Video Frame (14:54)
03 Outline Lanes Detected (12:21)
04 Save New Frames As A Video (13:52)
14 Build a motion alert video monitoring system
01 Load A Video From Drive (5:28)
02 Detect Objects In A Video With Contours (10:05)
03 Detect When Motion Begins And Ends (15:17)
04 Record Each Time Motion Begins (16:35)
15 Detect emotion in a video
Detect Emotion In A Video (12:11)
16 Swap faces with machine learning
01 Load Images From The Web Into Colab (3:00)
02 Get Facial Landmarks From Image (11:55)
03 Build A Matrix From Landmark Points (10:08)
04 Draw A Mask Over Facial Landmarks (7:07)
05 Build A Warped Mask (4:09)
06 Combine Face Masks (8:15)
Text to Speech with Python Machine Learning, Deep Learning and Neural Networks - Overview
00 Course Overview - Text To Speech (1:13)
01 How Text To Speech Works (5:42)
02 What You'll Need - Text To Speech (3:25)
03 Super simple text to speech with Google Text to Speech
01 Convert Text To Speech With GTTS (5:45)
04 Text to speech with PyTorch, Tacotron 2 and WaveGlow
00 What Are Pytorch, Tacotron 2 And Waveglow (4:28)
01 Load Models (3:50)
02 Convert Text To Speech With Pytorch (7:44)
05 Text to speech with pyttsx3
00 What Is Pyttsx3 (1:20)
01 Load Available Voices (4:31)
02 Convert Text To Speech With Pyttsx3 (4:48)
Beginners Machine Learning Masterclass with Tensorflow JS - Overview
01 What Is Machine Learning (6:39)
01b What You'll Learn (7:12)
02 What Is Tensorflow JS (4:27)
03 Load Tensorflow Object (4:27)
Source Files
01a Build Your First Tensors
00 Linear Algebra For Machine Learning-1 (4:44)
01 Build Tensors-2 (13:33)
02 Tensor Utility Methods-3 (9:12)
03 Perform Math With Tensors-4 (9:56)
Source Files
01b Visualize Data
01 Build A Scatter Plot-1 (8:40)
02 Build A Bar Chart-2 (5:33)
03 Build A Histogram-3 (6:38)
Source Files
01c Train a Simple Model
01 Build Sample Data (5:15)
02 Build The Model (11:14)
03 Make A Prediction (7:46)
Source Files
01d Generate and Visualize Data
01 Generate Data (13:38)
02 Visualize Data (16:10)
Source Files
02 Build a Linear Regression Model
00 What Is Linear Regression-1 (7:52)
01 Prepare Training Data-2 (7:10)
02 Build The Model-3 (14:05)
03 Make A Prediction-4 (3:53)
Source Files
02b Visualize Linear Regression with User Input
01 Set Up The Canvas-1 (3:47)
02 Draw A Data Sample-2 (6:20)
03 Create Loss And Prediction Functions-3 (6:00)
04 Collect User Input For Data-4 (8:50)
05 Visualize Linear Regression With Dynamic Data-5 (6:46)
Source Files
03 Visualize Polynomial Regression with User Input
01 Set Up The Canvas (11:00)
02 Visualize Linear Regression With Dynamic Data (16:32)
Source Files
04 Polynomial Regression
01 Generate Samples (6:21)
02 Generate A Prediction Equation With Weights (6:54)
03 Train The Model (5:25)
04 Visualize Predictions (18:01)
05 Visualize Prediction Error (10:00)
Source Files
05 K Nearest Neighbors Image Classification with Tensorflow JS
01 Load Models Into HTML (5:51)
02 Train Model On Images (13:13)
03 Make A Prediction (6:58)
Source Files
LEVEL 5 - Google Assistant Automation IoT Development - 01 Course overview - Google Assistant Automation
00 Course Overview - Google Assistant Automation (4:04)
01 What Is Google Assistant (6:42)
02 Getting Started with Google Actions Console
00 What Is The Google Actions Console (7:16)
00B How A Conversational Action Works (6:18)
01 Build An Actions Project On Google Developer Console (4:29)
03a Getting Started with the Firebase CLI
00A What Is Firebase (4:19)
00B What Is The Firebase CLI (2:56)
00C What Are Firebase Cloud Functions (7:46)
03b Install npm and Node
00 What Is Node JS (8:22)
01 Install Node And Npm On Mac Or Windows (3:14)
Source files
03c (Prerequisite) Command Line Fundamentals - 01 Course Overview
01 Why All Developers Need To Know The Command Line (8:50)
03 What Are Linux And Unix Terminals (8:04)
03c (Prerequisite) Command Line Fundamentals - 02 What you'll need
01 What You'll Need (1:20)
02 Install Linux Command Line On Windows (3:18)
03c (Prerequisite) Command Line Fundamentals - 03 Use Commands in a Linux Unix Terminal
01 Build Your First Command In The Command Line (3:48)
02 Navigate Directories In The Command Line (6:33)
03 Build And Edit A New File In The Command Line (7:27)
04 Move Files In The Command Line (9:00)
03d Initialize a Firebase project
02 Initialize A Firebase Project (15:50)
01 Install The Firebase CLI (2:54)
03e Deploy website to Firebase with Firebase CLI
03 Deploy Website To Firebase With Firebase CLI (18:04)
04 Enable Reading And Writing To Firebase Database In Website (1:01)
04 (Prerequisite) HTML Fundamentals
00 How To Become A Web Developer (7:39)
01 HTML Basics (7:26)
02 CSS Basics (5:50)
03 Add Images To Website With HTML (9:13)
04 Link To Pages With HTML Hyperlinks (5:30)
05 Positioning Items On A Webpage With CSS Flexbox (11:31)
06 Spacing Out Items With Flexbox (9:31)
05a (Prerequisite) Javascript
01. Javascript Intro (10:40)
02. Strings (5:50)
03. Numbers (5:08)
04. Booleans Intro (5:08)
05. If Statements (4:43)
06. Arrays (8:47)
07. For Loops (9:32)
08. While Loops (4:49)
09. Objects (8:18)
10. Functions (6:25)
11. Foreach (4:09)
12. Map Functions (5:37)
13. Using Objects As Dictionary (3:01)
14. Switch Statements (6:53)
15. Destructuring (5:45)
16. Spread Operator (7:12)
17. String Templates (6:53)
18. Error Handling (6:01)
19. Let And Const Keywords (3:54)
20. Do-while (2:01)
21. Sets (5:57)
22. Maps (4:55)
23. Stacks (6:22)
24. Queues (12:05)
25. For Loop (5:27)
26. Recursive Functions (7:29)
27. Loop Labeling (5:34)
28. 2d Arrays (22:15)
29. Settimeout (7:18)
30. Sentimental (11:37)
31. Functions With Optional Parameters (15:26)
32. Basic Regular Expression (6:09)
33. Handle Keypress Events (23:01)
34. Priority Queue (16:09)
35. Adddelete Object Property (3:00)
36A. Example With Sets (dropdowns) (11:10)
36b. Example With Sets (add Button) (13:34)
36c. Example With Sets (remove Button) (5:03)
36d. Example With Sets (refactoring) (16:19)
36e. Example With Sets (reduce Function) (14:04)
36f. Example With Sets (debugging) (14:04)
37. Concat (3:28)
38. Flat And Flatmap (2:21)
05b (Prerequisite) Advanced JavaScript - 01 Introduction
01 01 Introduction To The Course (1:28)
01 02 Why Should You Learn Javascript (0:49)
01 03 Quick Win (1:34)
01 04 Course Requirements (0:38)
01. Source Files
05b - 02. Next Generation JavaScript
02 01 What Will We Learn In This Section (0:43)
02 02 Declare Variables With Let And Const (16:05)
02 03 Blocks And Iifes (11:49)
02 04 Strings In Es2020 (11:48)
02 05 Coding Challenge (0:52)
02 06 Coding Challenge Solution (2:11)
02 07 Section Summary (0:46)
02. Source Files
05b - 03. Arrow functions
03 01 What Will We Learn In This Section (0:40)
03 02 Basics Of Arrow Functions (15:07)
03 03 Lexical This Keyword (10:37)
03 04 Coding Challenge (0:43)
03 05 Coding Challenge Solution (3:08)
03 06 Section Summary (0:47)
03. Source Files
05b - 04. Features in ES 2020+
04 01 What Will We Learn In This Section (0:31)
04 02 Destructuring (15:32)
04 03 Arrays In Es2020 (16:39)
04 04 Spread Operator (12:59)
04 05 Coding Challenge (0:54)
04 06 Coding Challenge Solution (3:45)
04 07 Section Summary (0:52)
04. Source Files
05b - 05. Parameters
05 01 What Will We Learn In This Section (0:36)
05 02 Rest Parameters (16:02)
05 03 Default Parameters (18:39)
05 04 Coding Challenge (0:50)
05 05 Coding Challenge Solution (4:06)
05 06 Section Summary (0:31)
05. Source files
05b - 06. Maps
06 01 What Will We Learn In This Section (0:42)
06 02 Maps (20:33)
06 04 Coding Challenge Solution (2:49)
06 03 Coding Challenge (0:41)
06 05 Section Summary (0:29)
06. Source Files
05b - 07. JavaScript Classes
07 01 What Will We Learn In This Section (0:38)
07 02 Classes (16:27)
07 03 Classes With Subclasses (16:37)
07 04 Coding Challenge (0:57)
07 05 Coding Challenge Solution (2:50)
07 06 Section Summary (0:56)
07. Source Files
05b - 08. Asynchronous JavaScript
08 01 What Will We Learn In This Section (1:03)
08 02 Asynchronous Javascript Example (11:20)
08 03 The Event Loop (12:22)
08 04 Asynchronous Javascript with Callbacks (9:25)
08 05 Promises (21:18)
08 06 Async Await (11:44)
08 07 Ajax And Apis (6:41)
08 08 Make Ajax Calls With Fetch And Promises (11:31)
08 09 Make Ajax Calls With Fetch And Async Await (7:32)
08 10 Coding Challenge (0:52)
08 11 Coding Challenge Solution (7:41)
08 12 Section Summary (0:57)
08. Source Files
05b - 09. Summary
09 01 Course Summary And Next Steps (2:24)
09. Source Files
06 Build a frontend user interface to control appliance
01 Build Html User Interface For Controlling Iot Appliances (7:00)
01 source files
07 Build user interface functionality
03 Update Appliance State (2:04)
02 Initialize Firebase And Appliance (5:22)
01 Build A Home (5:58)
Source files
08 Deploy project to Firebase and a Realtime Database
01 Initialize Firebase Functions (10:39)
Source Files
09 Connect appliance to Assistant with webhooks
01 Sync Intent - Define Appliance Metadata And Capabilities (4:25)
02 Query Intent - Process List Of Target Devices (4:11)
03 Query Intent - Get Current State Of Firebase And Appliance (3:13)
04 Execute Intent - Update Appliance State (4:20)
05 Execute Intent - Update Realtime Database (2:19)
Source files
10 Simulate authentication with Firebase functions
01 Simulate Authentication With Firebase (3:36)
02 Simulate Authentication Token With Firebase (3:46)
Source files
11 Test action with Google Assistant and Firebase
02 Link To Google Assistant To Test Action On Device (2:44)
01 Build Action On Google Actions Console (10:40)
Source files
Build a HomeKit App - The Complete iOS Home Automation Masterclass - 00 Course overview
00 Course Overview - Homekit Ios App Development For Home Automation (2:56)
01 How To Download Xcode (2:55)
01 (Prerequisite) Introduction to Xcode
00. Intro And Demo-1 (6:48)
01. General Interface Intro-2 (15:06)
02. File System Introduction-3 (13:24)
03. Viewcontroller Intro-4 (6:53)
04. Storyboard File Intro-5 (17:28)
05. Connecting Outlets And Actions-6 (14:12)
06. Running An Application-7 (10:06)
07. Debugging An Application-8 (11:40)
XCode Intro
02 (Prerequisite) Swift Language Basics - 01. Variable and Constants
00. Language Basics Topics List (5:14)
00. Learning Goals (4:24)
01. Intro To Variables And Constants (16:16)
02. Primitive Types (19:07)
03. Strings (19:11)
04. Nil Values (13:16)
05. Tuples (14:39)
06. Type Conversions (23:40)
07. Assignment Operators (11:43)
08. Conditional Operators (12:51)
Source Code
02. Collection Types
Collection Types Text.playground
02. Creating Arrays (5:18)
01. Intro To Collection Types (10:57)
05. Ranges (9:59)
03. Common Array Operations (25:26)
04. Multidimensional Arrays (8:03)
00.Topics-List-And-Learning-Objectives (3:36)
03. Control flow
00. Topics List And Learning Objectives (4:06)
01. Intro To If And Else Statements (10:07)
02. Else If Statements (9:13)
03. Multiple Simultaneous Tests (12:58)
04. Intro To Switch Statements (9:46)
05. Advanced Switch Statement Techniques (16:25)
06. Testing For Nil Values (12:15)
07. Intro To While Loops (14:51)
08A. Intro To For...In Loops (14:39)
08B Intro To For...In Loops (Cont'd) (11:19)
09. Complex Loops And Loop Control Statements (20:05)
Source code
04. Functions
00. Topics List And Learning Objectives (4:16)
01. Intro To Functions (20:19)
02. Function Parameters (12:01)
03. Return Statements (14:26)
04A. Parameter Variations - Argument Labels (9:23)
04B. Parameter Variations - Default Values (5:50)
04C. Parameters Variations - Inout Parameters (9:03)
04D. Parameter Variations - Variadic Parameters (11:11)
05. Returning Multiple Values Simultaneously (7:46)
Source Files
05. Classes, Struct and Enums
00. Topics List And Learning Objectives (5:25)
01. Intro To Classes (16:23)
02A. Properties As Fields - Add To Class Implementation (13:43)
02B. Custom Getters And Setters (8:44)
02C. Calculated Properties (24:12)
02D. Variable Scope And Self (13:15)
02E. Lazy And Static Variables (14:35)
03A. Behaviour And Instance Methods (16:38)
03B. Class Type Methods (7:42)
04. Class Instances As Field Variables (8:52)
05A. Inheritance, Subclassing And Superclassing (24:06)
05B. Overriding Initializers (13:41)
05C. Overriding Properties (16:30)
05D. Overriding Methods (10:33)
06. Structs Overview (20:24)
07. Enumerations (16:30)
08. Comparisons Between Classes, Structs And Enums (14:40)
Source files
BONUS - Introduction to Blockchain
00 Blockchain Introduction (8:32)
01 What Are Blockchains And Distributed Ledgers (3:48)
02A What Are Bitcoin And Ethereum (5:28)
02B Ethereum Blockchain Properties (10:22)
02C Ethereum Deep Dive (10:23)
03 What Are Smart Contracts (2:01)
04 What Is The Solidity Programming Language (4:01)
Source Files
Beginners Solidity for Ethereum Blockchain Masterclass - Build Smart Contracts - Overview
00 Course Overview-1 (8:42)
Source Files
01 Introduction to Blockchains and Distributed Ledgers
00 Blockchain Introduction-1 (8:32)
01 What Are Blockchains And Distributed Ledgers-2 (3:48)
02A What Are Bitcoin And Ethereum-3 (5:28)
02B Ethereum Blockchain Properties-4 (10:22)
02C Ethereum Deep Dive-5 (10:23)
03 What Are Smart Contracts-6 (2:01)
04 What Is The Solidity Programming Language-7 (4:01)
Source Files
02 How to Build Smart Contracts Online
01 Introduction To Ethereum Remix IDE (8:12)
03 Build Your First Solidity Smart Contract
01 Build Your First Contract-1 (8:48)
02 Change A State Variable Value-2 (5:55)
Source Files
04 Build Solidity Variables
01 Build A Local Variable-1 (4:28)
02 Build State Variables Of Different Data Types-2 (10:54)
03 Build A Custom Data Type With A Struct-3 (4:47)
Source Files
05 Build Solidity Arrays
01 Build Arrays-1 (11:07)
02 Build Array Functions-2 (6:17)
Source Files
06 Build Solidity Mappings
01 Build A Mapping-1 (6:20)
02 Build A Database-Like Mapping-2 (7:42)
03 Assign Ownership To Individual Ethereum Addresses-3 (4:59)
Source Files
07 Build Solidity Conditionals and Loops
01 Build A Conditional-1 (6:57)
02 Build A Loop-2 (9:25)
Source Files
08 Send Ether
01 Send Ether-1 (8:31)
Source Files
09 Build Smart Contracts
00 Build A Profit Splitter Contract-1 (11:48)
01 Build A Contract With Limited Addresses-2 (11:40)
02 Build A Contract And Library-3 (15:01)
03 Build A Contract With A Limited Time Transaction-4 (10:20)
04 Build Contracts With Inheritance-5 (13:22)
05 Build Contracts With Visibility Modifiers-6 (10:50)
06 Build A Contract With Mutability Modifiers-7 (10:20)
07 Build An Abstract Contract-8 (13:09)
08 Build A Bank Contract-9 (9:25)
09 Access Struct Value-10 (4:13)
Source Files
10 Interact on a Live Blockchain with Web3, Ganache and Truffle
01 What You Need To Deploy A Contract-1 (9:47)
02 Build A New Truffle Project-2 (6:46)
03 Build A Smart Contract-3 (5:10)
04 Deploy The Contract On A Live Blockchain-4 (13:41)
Source Files
Web 3.0 Programming Masterclass - Decentralized Application (Dapp) Development - 00 Overview
00 Course overview - Web 3.0 (12:56)
01 What you'll need - Web3 (3:33)
02 Web 3.0 Fundamentals (12:17)
00c (Prerequisite) Introduction to HTML
01. Course Requirements (2:55)
02. What Is Jsbin (3:15)
03. Setting Up The Html Document (2:41)
04. Header Tags And Paragraphs Tags (4:06)
05. Styles (3:32)
06. Bold Underline And Italic Tags (3:10)
07. Adding In A Link (1:38)
08. Adding In A Image (3:00)
09. Adding A Link To An Image (1:54)
10. Lists (4:03)
11. Tables (3:29)
12. Different Kinds Of Input (4:59)
13. Adding In A Submit Button (3:01)
14. Scripts And Style Tags (3:27)
00d (Prerequisite) Introduction to JavaScript
01. Variables (5:36)
02. JavaScript (10:24)
03. Numbers (4:52)
04. Booleans (5:22)
05. If Statements (4:27)
06. Arrays (8:31)
07. For Loops (9:16)
08. While Loops (4:33)
09. Objects (8:02)
10. Functions (6:09)
11. Foreach (3:54)
12. Map Functions (5:22)
13. Using Objects As Dictionary (2:45)
14. Switch Statements (6:38)
15. Destructuring-1 (5:30)
16. Spread Operator-1 (6:56)
17. String Templates-1 (6:37)
18. Error Handling-1 (5:45)
19. Let And Const Keywords-1 (3:39)
20. Do-while-1 (1:43)
21. Sets-1 (5:42)
22. Maps-1 (4:38)
23. Stacks-1 (6:06)
24. Queues-1 (11:49)
25. For Loop (5:11)
26. Recursive Functions-1 (7:13)
27. Loop Labeling-1 (5:18)
28. 2d Arrays-1 (21:59)
29. Settimeout-1 (7:02)
30. Sentimental-1 (11:21)
31. Functions With Optional Parameters-1 (15:10)
32. Basic Regular Expression-1 (5:53)
33. Handle Keypress Events-1 (22:45)
34. Priority Queue-1 (15:54)
35. Adddelete Object Property-1 (2:44)
37. Concat-1 (3:12)
38. Flat And Flatmap-1 (2:06)
01a Build a simple tally decentralized website with Truffle, Solidity and vanilla JavaScript
00 Build A Simple Tally Decentralized Website With Truffle, Solidity And Vanilla Javascript - Project Overview (6:35)
01B What Is Truffle Ethereum (1:29)
02 What Is Web3js (1:29)
03 Install Metamask (2:14)
04 What Is Ganache
04 What Is Ganache (1:41)
01a Source files
01b Build, compile, deploy and migrate Truffle Solidity smart contract
01 Build and compile Truffle Solidity smart contract (6:10)
02 Deploy and migrate Truffle Solidity smart contract (9:26)
01b Source files
01b2 Build web3 client to interact with smart contract via website
03 Build Html To Interact With Smart Contract Via Website (5:40)
04 Connect To Metamask With Javascript Web3 (9:55)
05 Enable User To Interact With Smart Contract Via Website (8:16)
06 Test Dapp With Server, Metamask And Ganache (10:52)
12 Source files
01c (Prerequisite) Introduction to React
00 Why You Should Learn React (5:30)
01 React Introduction (12:32)
02 Set up a Container (8:13)
03 Generate a List (6:46)
04 Add Items to the List (6:34)
05 Clear Input Field (10:26)
06 Remove a Task (10:39)
Source Files
01d Build a simple dapp with React and Web3 that connects to MetaMask
00 Project Preview (1:52)
01 Build A New React App (4:07)
Source files
02 Build React web app components
02 Build A Main Component (5:40)
03 Display Main Component On Webpage (2:10)
04 Build A Signin Component (2:53)
Source files
03 Implement web3 in React app
05 Build Sign In Handler In Sign In Component (6:59)
06 Handle Signin In App Component (9:47)
07 Test With Ganache And Metamask (4:31)
08 Tips For Debugging Web3 Dapps (2:36)
Source files
04 Build a dapp to show account and network
00 Project Preview - Build A Dapp With Metamask Account And Network (1:31)
01 Build A React App With Components (6:11)
02 Detect Metamask Crypto Wallet With Web3 (10:27)
03 Connect Components To App (7:41)
04 Handle Account Or Network Change (10:48)
Source files
05 Build a Truffle project with local Ganache CLI blockchain
00 Project Preview - Truffle Project With Infura And Ganache Cli (3:45)
01 Build A New Truffle Project Project (14:10)
02 Build A Local Blockchain With Ganache Cli (15:58)
03 Deploy Contracts To Local Blockchain (10:57)
04 Send Transaction To Run Function On Your Contract (5:41)
Source files
06 Use Infura to connect to public networks
05 Use Infura To Connect To Public Networks (4:03)
06 Fork Infura Client To Local Ganache Blockchain (16:32)
Source files
07a Project overview - Build an NFT contract and deploy on OpenSea
00 Project Overview - Build An Nft Contract And Deploy On Opensea (5:35)
00b What Are Nft Token Standards (5:48)
Source files
07 Build an NFT contract and deploy on OpenSea
01 Build A New Truffle Project (1:53)
02 Configure Metamask To Use Mumbai Testnet (4:24)
03 Get An Rpc Url Key With Maticvigil (2:38)
04 Build An Nft Solidity Smart Contract (7:38)
Source files
08 Build collection data and NFT data
05 Build Collection Data And NFT Data (3:46)
06 Upload Images And Json To Pinata Ipfs (4:11)
Source files
09 Deploy and mint tokens
07 Migrate Contracts To Mumbai Network (7:01)
08 Mint Tokens At Contract Address (11:31)
09 View NFT On Opensea (6:24)
Source files
10 Build a Simple NFT Contract with Hardhat, OpenZeppelin and Local Blockchain
00 Project Overview - Build NFT Contract With Hardhat, Openzeppelin And Local Blockchain (11:29)
01 Build A New Hardhat Project (3:13)
02 Build A Simple NFT Contract With Openzeppelin Erc721 Standard (6:03)
03 Test Smart Contract With Ethereum Waffle (11:56)
04 Log To Console In Solidity With Hardhat (3:46)
05 Deploy Contract To Local Network (7:31)
Source files
13 Build an NFT minting dapp with Truffle, Solidity, OpenZeppelin and React
00 Build An Nft Minting Dapp With Truffle, Solidity, Openzeppelin And React - Project Overview (4:14)
01 Build React Truffle Project From Scratch (2:27)
02 Build A Smart Contract For Minting NFTs (8:56)
13 Source files
14 Build React frontend for dapp
03 Initialize Web3 In React (7:05)
04 Deploy Smart Contract To Get Address And Abi (6:52)
05 Build Frontend NFT Minting Functionality (7:34)
06 Build Website Elements For User Interaction-5 (8:54)
07 Test Project With Metamask And Ganache (6:44)
14 Source files
15a Build a to do list dapp with Truffle and React
00 Build A To Do List Dapp With Truffle And React - Project Overview (2:44)
01 Set Up Truffle Dapp With Create React App (3:25)
02 Build A To Do List Smart Contract (7:19)
15a Source files
15b Build React frontend for dapp
03 Connect To Smart Contract In Web App (9:15)
04 Migrate Smart Contract On Local Ganache Blockchain (8:16)
05 Build Api Key Env Variable From Blocknative Notifier (3:55)
06 Connect Backend Smart Contract Functionality To Frontend (6:50)
07 Listen For Messages From Metamask Browser Wallet (4:54)
15b Source files
15c Enable user interaction with dapp
08 Build Website Elements For User Interaction (6:25)
09 Test Project With Metamask And Ganache (4:39)
10 Style Completed Tasks (3:09)
15c Source files
NFT Blockchain Decentralized App Development with Solidity & JavaScript - 00 Overview
00 Course Overview (8:12)
01 What You'll Need (6:11)
01a Introduction to Blockchains and Distributed Ledgers
05 What Is An NFT (2:44)
Source Files
02 Build a Truffle project
00 What Is Truffle Ethereum (1:29)
01 Build A Truffle Project (8:39)
Source files
03 Build NFT smart contract with Solidity & OpenZeppelin
00 What Are Nft Token Standards (5:42)
01 Install Openzeppelin Nft Token Standard (10:08)
02 Build NFT Smart Contract (12:14)
Source files
04 Build a test for your NFT smart contract
00 Introduction To Testing Smart Contracts (2:22)
01 Build A Test For Your Nft Smart Contract (7:16)
Source files
05 Deploy smart contract with Ganache personal blockchain
00 What Is Ganache (1:41)
01 Deploy Smart Contract With Ganache Personal Blockchain (7:40)
Source files
06 Test NFT contract properties
01 Test Nft Contract Properties (5:40)
Source files
07 Build mint tokens functionality
01 Build Mint Tokens Functionality (6:20)
02 Test Minting Tokens (9:20)
03 Test Indexing Tokens (6:32)
Source files
08a Introduction to React
00 Why You Should Learn React (5:30)
01 React Introduction (12:33)
02 Set Up A Container (8:13)
03 Generate A List (6:46)
04 Add Items To The List (6:34)
05 Clear Input Field (10:26)
06 Remove A Task (10:39)
Source Files
08b Build client front end for the decentralized app
01 Build Index HTML File (3:49)
Source files
09 Build a web3JS app
00 What Is Web3js (2:06)
01 Build App And Load Web3 (4:48)
02 Run Project With React-Scripts (10:29)
03A Install Metamask (2:14)
03B Load Blockchain Data (10:26)
Source files
10 Build a mint function on the client
01 Build A Form To Mint Tokens (6:26)
02 Send Client Mint Request To The Contract (8:35)
03 Mint Tokens With Truffle Console (4:37)
Source files
Beginners Marlowe Haskell for Cardano Blockchain Masterclass - overview
00 Course Overview (3:08)
Source Files
00a Blockchain and Smart Contracts Overview
00 Blockchain Introduction (7:38)
01 What Is Cardano (4:05)
02 What Is A Smart Contract (6:34)
Source Files
00b Haskell Fundamentals
00 What Is Haskell (10:21)
01 Build A Function (11:25)
02 Argument Precendence Example (5:00)
03 Dollar Notation Example (4:57)
04 Dot Notation Example (3:32)
05 Build Data Types (7:18)
06 Build A Loop With Recursion (4:53)
07 Use Tuples Example (3:14)
08 Build Tokens (4:07)
09 Build A List (5:48)
10 Build Multi Value Data Types (4:11)
11 Implement A Recursive List Algorithm (5:49)
12 Use The Built-In List Type (4:21)
13 Build A Tokenizer (4:34)
14 Find If Element Is In List (6:36)
15 Currying Example (4:38)
16 Build Guards (5:19)
17 Convert String To List (3:16)
18 Build Fibonacci With Guards (6:26)
Source Files
00c Marlowe Fundamentals
00 Marlowe Deep Dive (4:48)
01 Build A Smart Contract In Marlowe (12:28)
Source Files
01a Build a Simple Send Crypto Contract
01 Build A Simple Send Crypto Contract-1 (9:04)
Source Files
01b Build a Selectable Amount Contract
01 Build A Selectable Amount Contract (6:40)
Source Files
02 Build Your First Smart Contract with Marlowe
00 Escrow Contract Overview (11:32)
01 Set Up The Contract (6:38)
02 Build The Inner Contract (4:51)
03 Build Agreement And Arbitrate (4:01)
04 Build Choices (4:40)
05 Build Choice Values And Test (5:51)
Source Files
03 Build a Pay Employees Smart Contract
00 Pay Employees Contract Overview (2:48)
01 Build Employees And Amounts (2:12)
02 Build A Deposit Action (3:45)
03 Build A Payment Contract (2:43)
04 Set Up The Contract (7:10)
Source Files
04 Build a Token Swap Smart Contract
00 Token Exchange Contract Overview (3:22)
01 Set Up The Contract (8:53)
02 Build Actions (4:27)
03 Build Agreement Contract (12:29)
Source Files
05 Build a Fundraiser Smart Contract
00 Fundraiser Smart Contract Overview (1:13)
01 Set Up Contract And Choices (4:15)
02 Pay Fundraising Party (5:12)
03 Build A Refund Contract (3:05)
04 Fundraise From All Parties (7:05)
Source Files
06 Build a Collateral Escrow Contract
00 Collateral Escrow Contract Overview (3:24)
01 Set Up Contract (5:32)
02 Build Collaterals (4:00)
03 Build Timeouts (3:02)
04 Issue Refunds (6:27)
05 Burn Collateral (2:51)
06 Build Choices (4:00)
07 Test The Contract (6:07)
Source Files
07 Build a Discount Bond Contract
00 Discount Bond Contract Overview (2:30)
01 Set Up Contract (3:11)
02 Build A Transfer (3:14)
03 Build Timeouts And Test Contract (5:13)
Source Files
The Complete Web3 Python Automation Masterclass - Overview
00 Course Overview - Web3 Python Automation-1 (5:49)
01 Web 3.0 Fundamentals-2 (12:16)
02 What Is Python-3 (4:47)
Source files
03 Interact with blockchain with web3 python
01 Connect To Ethereum Node With Web3 Python-1 (6:29)
02 Connect To Ethereum Mainnet With Http Provider Infura-2 (5:08)
03 Interact With Ethereum Blockchain With Web3 Python-3 (5:07)
04 Interact With Blockchain Contract With Web3 Python-4 (6:37)
source Files
04 (Prerequisite) Introduction to Solidity - 02 How to Build Smart Contracts Online
01 Introduction To Ethereum Remix Ide-1 (8:12)
04 - 03 Build Your First Solidity Smart Contract
02 Change A State Variable Value-2 (5:55)
01 Build Your First Contract-1 (8:48)
Source Files
04 - 04 Build Solidity Variables
01 Build A Local Variable-1 (4:28)
02 Build State Variables Of Different Data Types-2 (10:54)
03 Build A Custom Data Type With A Struct-3 (4:47)
Source Files
04 - 05 Build Solidity Arrays
01 Build Arrays-1 (11:07)
02 Build Array Functions-2 (6:17)
Source Files
04 - 06 Build Solidity Mappings
01 Build A Mapping-1 (6:20)
02 Build A Database-Like Mapping-2 (7:42)
03 Assign Ownership To Individual Ethereum Addresses-3 (4:59)
Source Files
04 - 07 Build Solidity Conditionals and Loops
00 What Is An Nft-1 (2:44)
01 Install Dependencies For Web3 Python In Google Colab-2 (3:53)
02 Build A Solidity Nft Smart Contract Without A Library-3 (15:13)
03 Compile Nft Smart Contract In Colab With Python-4 (3:37)
04 Deploy Nft Contract With Python To Simple Test Ethereum Network-5 (6:10)
05 Interact With Nft Contract In Python-6 (7:04)
source files
04 - 08 Send Ether
Source Files
01 Send Ether-1 (8:31)
04 - 09 Build Smart Contracts
00 Build A Profit Splitter Contract-1 (11:48)
01 Build A Contract With Limited Addresses-2 (11:40)
02 Build A Contract And Library-3 (15:01)
03 Build A Contract With A Limited Time Transaction-4 (10:20)
04 Build Contracts With Inheritance-5 (13:22)
05 Build Contracts With Visibility Modifiers-6 (10:50)
06 Build A Contract With Mutability Modifiers-7 (10:20)
07 Build An Abstract Contract-8 (13:09)
08 Build A Bank Contract-9 (9:25)
09 Access Struct Value-10 (4:13)
Source Files
05 Build and deploy Solidity smart contract in Colab
01 Set Up Development Environment For Web3 Python In Colab-1 (4:51)
02 Build A Hello World Solidity Smart Contract In Colab-2 (8:27)
03 Interact With Simple Smart Contract In Python-3 (13:15)
source files
06 Deploy a smart contract with Python to Ropsten Ethereum Network
01 How To Use Web3 Python In Google Colab-1 (3:29)
02 Build A Simple Solidity Smart Contract-2 (3:44)
03 Import Smart Contract Into Colab-3 (6:43)
04 Deploy A Smart Contract With Python-4 (11:49)
05 Interact With Deployed Smart Contract In Python-5 (7:23)
Source Files
07 Deploy NFT smart contract with Python
00 What Is An Nft-1 (2:44)
01 Install Dependencies For Web3 Python In Google Colab-2 (3:53)
02 Build A Solidity Nft Smart Contract Without A Library-3 (15:13)
03 Compile Nft Smart Contract In Colab With Python-4 (3:37)
04 Deploy Nft Contract With Python To Simple Test Ethereum Network-5 (6:10)
05 Interact With Nft Contract In Python-6 (7:04)
source files
08 Brownie for Smart Contracts Dapps Introduction
01 What Is Brownie-1 (2:27)
02 Brownie Projects Overview-2 (4:15)
03 Why All Developers Need To Know The Command Line-3 (8:50)
Source files
10 Install Brownie and Python
00 Install Python-1 (2:43)
01 Install Brownie-2 (3:46)
11 Build a smart contract project with Brownie from scratch
01 Start A New Brownie Project From Scratch-1 (3:09)
02 Build A Simple Solidity 0.8.12 Smart Contract-2 (4:20)
Source files
12 Build Python scripts to automate smart contracts
03 Build Python Script To Deploy Smart Contract With Brownie-1 (8:48)
04 Build A Python Script To Interact With Smart Contract --2 (5:19)
05 Automate Smart Contract Testing With Python In Brownie-3 (5:08)
06 Automate Smart Contract Transaction Testing With Python In Brownie-4 (4:02)
Source files
13 Run scripts with Brownie console
07 Use Brownie Console To Deploy Contract-1 (9:17)
08 Build Python Script To Interact With Smart Contract With Brownie-2 (5:40)
source files
14 Build NFT with Brownie Python
01 Build A Solidity Nft Smart Contract With Openzeppelin In Brownie (11:44)
02 Build Python Script To Deploy Nft To Local Blockchain (2:50)
03 Automate Minting NFT With Python On Local Blockchain (13:20)
Source files
WATCH BEFORE CONTINUING! Amazing deal
WATCH BEFORE CONTINUING! Amazing deal
13.04 Build A Recurrent Neural Network-4
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