Autoplay
Autocomplete
Previous Lesson
Complete and Continue
The Complete Python, Machine Learning, Generative AI Bundle+
▶️ Level 1: Python Basics 😃💻
01. Intro To Python (5:46)
01.01 What Is Google Colab (4:24)
01.02 What If I Get Errors (2:40)
01.03 How Do I Terminate A Session (2:40)
02. Variables (19:17)
03. Type Conversion Examples (10:04)
04. Operators (7:04)
05. Operators Examples (21:52)
06. Collections (8:23)
07. Lists (11:38)
08. Multidimensional List Examples (8:05)
09. Tuples Examples (8:34)
10. Dictionaries Examples (14:24)
11. Ranges Examples (8:30)
12. Conditionals (6:41)
13. If Statement Examples (10:16)
14. If Statement Variants Examples (11:18)
15. Loops (7:00)
16. While Loops Examples (11:30)
17. For Loops Examples (11:18)
18. Functions (7:47)
19. Functions Examples (9:16)
20. Parameters And Return Values Examples (13:46)
21. Classes And Objects (11:13)
22. Classes Example (13:11)
23. Objects Examples (9:54)
24. Inheritance Examples (17:26)
25. Static Members Example (11:03)
26. Summary And Outro (4:06)
▶️ Level 2: Advanced Python Projects 🐍🖥️
00. Course Intro (6:10)
Intro to Tensorflow - Source Files
01. Intro To Tensorflow (5:33)
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 (12:43)
08. Linear Regression Model - Testing The Model (5:22)
09. Summary And Outro (2:55)
Data Science with Python and NumPy
Source Files
00. Course Intro (5:11)
01. Intro To Numpy (6:21)
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)
Machine Learning Theory
00. Course Intro (6:05)
01. Quick Intro To Machine Learning (9:01)
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
Review Sentiment Analysis
00. Course Intro (6:19)
Source Files
01. How Machines Interpret Text (15:23)
02. Building The Model Part 1 - Examining Dataset (12:27)
03. Building The Model Part 2 - Formatting Dataset (15:14)
04. Building The Model Part 3 - Building The Model (10:30)
05. Building The Model Part 4 - Training The Model (5:42)
06. Building The Model Part 5 - Testing The Model.Mp4 (9:26)
07. Course Summary And Outro (3:29)
Learn to Graph Data with Python and Matplotlib
00. Course Intro (5:30)
Pyplot Code
01. Intro To Pyplot (5:11)
02. Installing Matplotlib (5:52)
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)
Complete Beginners Data Analysis with Pandas and Python
Source Files
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 (19:21)
06. Getting Properties Of Series (13:04)
07. Modifying Series (19:02)
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)
13. Dataframe Operations (20:09)
14 Dataframe Comparisons And Iteration (15:35)
15. Reading Csvs (12:00)
16. Summary And Outro (4:14)
Python and Flask Web Development Bootcamp
Source Files
00A Project Preview (4:13)
00B What Is Flask (3:45)
00C What You-ll Need (1:49)
01 01 Build Your First Flask App (13:26)
01 02 Render HTML On Multiple Pages (10:53)
01 03 Build Page Templates With HTML (9:31)
01 04 Build Dynamic Page Templates (5:36)
01 05 Display JSON Data (5:21)
01 06 Build A Template To Show All Data (9:16)
Python and SQLite Bootcamp - Learn to Build Databases
Source Files
00A Project And Database Preview (2:37)
01 What You'll Need (1:54)
00B What Is SQLite (4:01)
01 Create A Database (4:00)
02 Build Database Tables (5:25)
03 Insert Records (9:18)
04 Select Records (5:48)
05 Connect To A Database (3:19)
06 Build A Row From User Input (10:27)
07 Check If Entry Already Exists (5:39)
08 Introduction To SQL Joins (3:53)
09 Build SQL Joins (11:32)
PySpark - Build DataFrames with Python, Apache Spark and SQL
Source Files
00 Project Preview (2:33)
01 What Is Apache Spark (2:37)
02 What Are Resilient Distributed Datasets (1:08)
03A What Is A Dataframe (1:47)
03B What You-ll Need (1:47)
04 Start A Spark Session (3:47)
05 Load Data As A CSV (6:02)
06 Perform Basic Dataframe Operations (4:02)
07 Format Dataframe Table (5:14)
08 Perform Dataframe Math Operations (7:32)
09 Perform Dataframe Queries (14:22)
10 Build SQL Queries With Spark (7:24)
Scrape the Web - Python and Beautiful Soup Bootcamp
01 What You-ll Need (1:30)
00 What Is Web Scraping (5:39)
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 (5:19)
07 Add Navigation To A String (5:29)
08 Navigate Html Contents (7:16)
09 Find All Filter (4:52)
Source Files
Build Interactive Python Dashboards with Plotly and Dash
01 Project Preview (1:39)
Source Files
02 What Is Plotly And Dash (3:59)
03 What You'll Need (2:09)
04 Build A Dash App (11:44)
05 Build A Graph In The Dash App (12:05)
06 Load Data From Vega Datasets (5:33)
07 Build The Layout (10:27)
08 Build A Chart With Altair (11:56)
Data Mining with Python and NumPy - Build a Video Recommender System
00 Project Preview (2:48)
Source Files
01 Build A Dataset (23:44)
02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y (10:06)
03 Compute Support And Confidence For All Channels (14:21)
04 Determine Which Videos Are Best To Recommend (9:57)
▶️ Level 3: Machine Learning with Python 🌍🧠
00A What Is Machine Learning (5:26)
00B Types Of Machine Learning Models (12:17)
00C What Is Supervised Learning (11:04)
00D What Is Unsupervised Learning (8:17)
01 How Does A Machine Learning Agent Learn (7:38)
02 What Is Inductive Learning (4:11)
03 Performance Of A Machine Learning Algorithm (4:14)
04 Handle Noise In Data (5:22)
05 Powerful Tools With Machine Learning Libraries- (12:11)
Beginner Data Science and Machine Learning Bootcamp
01 Create A Dataset (5:17)
01 Project Preview (3:29)
02 Vectorize Text (16:27)
03 Build A Word Cloud (7:08)
04 Reduce Data Dimensionality With Principal Component Analysis (6:08)
05 Perform Unsupervised Classification With K-Means Clusters (17:33)
Source Files
Machine Learning Fundamentals
03-01 Probability And Information Theory Overview (5:15)
00 Course Overview (13:46)
03-02 Combinatorics For Probability (8:44)
03-03 Law Of Large Numbers (10:38)
03-04 Calculate Center Of Distribution (7:40)
04-01 Uniform Distribution (5:25)
04-02 Gaussian Distribution (3:45)
04-03 Log-Normal Distribution (3:28)
04-04 Exponential Distribution (3:04)
04-05 Laplace Distribution (1:54)
04-06 Binomial Distribution (9:05)
04-07 Multinomial Distribution (3:59)
04-08 Poisson Distribution (4:21)
05 Calculate Error Of Machine Learning Model (8:44)
Source Files
Data Engineering and Machine Learning Masterclass
00-00 What Is Python (4:48)
Source Files
00-01. Intro To Python (4:37)
00b-00 Course Overview (3:26)
03-01 Load And Clean A Public Dataset (8:55)
03-01B What Is One-Hot Encoding (10:02)
03-02 Build X And Y Data With One Hot Encoding (4:57)
03-03 Logistic Regression With One Hot Encoding (2:20)
04-04 Scale And Encode Data With Scikit-Learn (3:47)
04-04 What Is Scaling Data (6:36)
04-05 Build, Train And Test A Machine Learning Model (4:37)
05-01 Compare Decision Tree And Linear Regression Models (6:26)
05-01C What Is The Kbins Discretizer (4:54)
05-02 Bin Data With Kbins Discretizer (3:42)
05-03 Compare Binned Regression Models (3:39)
05-04 Build A Linear Regression Model On Stacked Data (3:20)
05-05A What Is K Means Clustering (11:58)
06-01 Build Univariate Nonlinear Transformatio (1:55)
06-01 What Is Gaussian Probability Distribution- (2:31)
06-01B What Is Poisson Distribution (1:08)
06-02 Build X Y Data With Poisson Distribution In Numpy (3:34)
06-02C What Is Logarithmic Data Transformation (2:34)
06-03 Build A Ridge Regression Model (3:41)
Build Machine Learning Models
00-01 Introduction To Recommender Systems (9:08)
Source Files
00-02 How To Evaluate Recommender Systems (14:54)
00-03 Content Based Recommendations (4:37)
00-04 Neighborhood Based Collaborative Filtering (2:22)
01-00 Project Preview (1:59)
01-01 Load Data As Pandas Dataframes (12:17)
01-02 Merge Movies And Ratings Dataframes (8:30)
01-03 Build A Correlation Matrix (6:20)
01-04 Test The Recommender (6:55)
Mastering the Basics: Constructing a Movie Recommendation System using Machine Learning
00 Project Preview (4:51)
Source files
00A What Is Machine Learning (5:26)
00B Types Of Machine Learning Models (12:17)
00C What Is Supervised Learning (11:03)
01 Load Data Into Dataframes (6:50)
02 Find A Recommendation Based On Different Movie Features (16:03)
03 Calculate Distance Between Users (5:59)
04 Find Similar Users With Euclidean Distance (9:26)
05 Define Similarity Between Users (6:29)
06 Find Top Similar Users (8:05)
07 Recommend A Movie Based On User Similarity (8:08)
08A What Is K Nearest Neighbours (8:07)
08B Recommend A Movie With A K Nearest Neighbors Classifier (12:23)
09 Create A Sample User For Testing (11:09)
10 Recommend Movies To Sample User (3:08)
Machine Learning User Recommendations with Profiles and Items
08-01 Load Data For Machine Learning (15:14)
00 Project Preview (4:38)
08-02 Process Data For Machine Learning (11:25)
08-03 Build Categories (9:31)
09-04A Regression Introduction (8:58)
09-04B What Is Regression (19:55)
09-04C Build A Ridge Regression Model (13:43)
09-05 Evaluate Model Error (7:04)
09-06 Visualize Top Features Affecting Rating (11:27)
09-07 Build A Lasso Regression Model (8:01)
09-08 Visualize Top Features From Lasso Regression (8:07)
09-09 Determine Which Model Is Best (3:28)
10-01 Load Data For A Neural Network (9:16)
10-02 Build A Singular Value Decomposition Algorithm (10:14)
10-03 Calculate Model Error (11:27)
Build a Dense Neural Network to Recommend Movies
Source Files
11-01 What Is Deep Learning (7:42)
11-02 What Is A Neural Network (8:47)
11-03 What Is Unsupervised Learning (8:17)
12-04 Build A Neural Network (15:16)
12-05 Train The Neural Network (12:27)
13-00 Project Preview (2:38)
13-01 Load Data Into Dataframes (5:28)
13-02 Explore Data In Our Dataset (3:49)
13-03 Build A Rating Pivot Table (5:22)
13-04 Calculate Average Rating Of A Movie (5:51)
13-05 Find Ratings For A Movie In Every Slice (6:17)
13-06 Find Rating Averages For Every Movie In The Slice (7:54)
13-07 Build An Average Ratings Column (13:25)
Python Chatbot Bootcamp with Pandas, NumPy and SciKit (Natural Language Processing - Build 2 Chatbots)
01 Projects Preview (4:49)
Source Files
02 What Is Natural Language Processing (5:39)
03 What Is Text Vectorization (7:34)
04 Train A Vectorizer (8:50)
05 Chat With The User (11:04)
06 Define A Basic Intent Classifier (7:42)
07 Define A Basic Generative Model (4:05)
08 Test The Chatbot (9:33)
Python Data Analysis Bootcamp with Pandas and NLTK - Natural Language Processing
00 Project Preview (3:38)
Source Files
01 Convert Csv File To A Python List (13:49)
02 Tokenize Text Data (26:25)
03 Find Most Popular Lemmatized Words (11:36)
04 Build Dataframes Per Part Of Speech (3:56)
05 Plot Word Frequency (9:09)
Beginner Data Science and Machine Learning Bootcamp (Sentiment Analysis with Unsupervised Classification with Python, Pandas, NumPy, Matplotlib and SciKit-Learn)
01 Project Preview (3:29)
04-01 Create A Dataset (5:17)
04-02 Vectorize Text (16:27)
04-03 Build A Word Cloud (7:08)
04-04 Reduce Data Dimensionality With Principal Component Analysis (6:08)
04-05 Perform Unsupervised Classification With K-Means Clusters (17:33)
Source Files
▶️ Level 4: Generative AI Mastery 🎨🤖
02 Intro To Prompt Engineering-Prompt Types (8:28)
Source Files
01 What Is Chatgpt (7:50)
03 Intro To Prompt Engineering-Effective Prompts (8:41)
04 Project Preview (2:04)
05 Simplify Complex Information (8:38)
06 Simplify Complex Information-Other Strategies (8:41)
Automate business tasks with ChatGPT Prompt Engineering
Source Files
02 03 Proofread-Email And Business Proposals (8:39)
02.03 Proofread-More Use Cases (8:24)
02.04 Re-Organize Data-Benefits And First Sample Use Case (6:22)
02.04 Re-Organize Data-Potential Use Cases Case (10:44)
02.05 Work With Spreadsheets-Automating Data Entry (7:46)
02.05 Work With Spreadsheets-Formulas And Other Use Cases (7:31)
ChatGPT for Marketing Automation
01 Project Preview (1:23)
02 Create Content (4:03)
03 Social Media (4:26)
04 Write Ad Copy (8:17)
05 Write Email Marketing Campaigns (4:55)
06 Write An Outreach Message (5:08)
07 Copyrighting (4:29)
08 Seo (5:09)
09 Video Scripts (8:49)
10 Generate Text In Your Writing Style (3:25)
ChatGPT Prompts for Research, Copywriting and Career Prep
02 Research-Chatgpt Usecase And Benefits (7:05)
01 Project Preview (1:51)
02B Research-More Examples And Explanation (7:49)
03 Write An Article-Add Role To Chatgpt (7:17)
03B Write An Article-Generate High Quality Content (8:02)
04 Check Plagiarism (10:56)
05 Prepare For Job Opportunities-Cv And Cover Letter (8:28)
05B Prepare For Job Opportunities-Interview Questions, Connection And Task Generator (8:36)
Automate Coding with ChatGPT Prompts
02 Generate Code-Javascript And Python Code Snippets (9:26)
01 Project Preview (2:33)
02B Generate Code-Stylesheet, Html, C++ And Conversion (9:20)
03 Build Algorithms-Algorithm To Pseudocode (4:03)
03B Build Algorithms-Realworld Use Cases (8:11)
04 Debug-Python Use Case (6:51)
04B Debug-React, Api, Javascript, Html And Css (6:56)
05 Write Code Documentation (9:51)
06 Use Chatgpt As A Linux Terminal (8:32)
07 Use Chatgpt As A Unix Terminal (9:08)
08 Use Chatgpt As A Microsoft Dos Terminal (5:28)
09 Use Chatgpt To Suggest Uxui Designs (8:10)
10 Use Chatgpt To Suggest Cybersecurity Solutions (10:05)
Automate Excel with ChatGPT
Source File
01 01 Course Requirement (2:31)
02 01 Project Preview (1:36)
02.02A Set Up Excel Spreadsheet With Gpt Add-In (8:37)
02.02B Excel With Chatgpt (4:51)
02.03 Write Excel Formulas With Chatgpt (9:39)
02.04 Use Chatgpt Formulas In Excel (16:18)
Build Investment Dashboard with ChatGPT and Excel
Source file
03 01 Project Preview (1:27)
03.02A Set Up Dashboard (7:51)
03.02B Set Up Data (7:11)
03.03A Use Chatgpt And Excel To Build An Investment Dashboard (11:37)
03.03B Generate More Formulas For Excel (11:34)
03.03C Placing Data On Dashboard (10:30)
Sales Automation with ChatGPT and Excel
Source file
04 01 Project Preview_1 (2:10)
04.02A Project Setup - Product Worksheet (11:59)
04.02B Setup Sales And Summary Sheet (9:22)
04.03A Build Advanced Chatgpt Excel Project (13:00)
04.03B Automating Product Name And Price Data (13:11)
04.03C Completing Sales Sheet Automation With Chatgpt (9:32)
04.03D Building Sales Overview Dashboard (8:37)
04.03E Refining The Pos System (11:14)
Automate Business Writing with ChatGPT
Source file 05
01 Project Preview (2:18)
02 Meeting Agendas And Minutes (10:25)
03 Write A Business Proposal (11:18)
04 Build A Business Report (11:12)
05 Build A Business Plan (10:35)
06 Build A Business Performance Appraisal (10:39)
07 Build A Business Presentation (12:40)
08 Summarize Business Documents (11:44)
09 Write Job Descriptions (8:33)
10 Build White Papers (9:38)
11 Build Employee Handbooks (8:44)
12 Build Business Manuals (9:24)
Automate Social Media Business with ChatGPT
Source file
01 Project Preview (1:16)
02 Set Up Project (8:06)
03A Advanced Chatgpt 4 Business Project (10:10)
03B Chatgpt And Social Bee Side By Side (10:16)
03C Finishing Touches (12:26)
Introduction to ChatGPT 4 Prompts for Marketing
01. Source Files
00 Introduction Of The Instructor (1:53)
01 Setting Up Your Chatgpt Account - A Step-By-Step Guide (6:04)
02 Tips For Getting The Best Responses From Chatgpt (9:55)
03 Building A Marketing Campaign Content Calendar With Chatgpt (10:34)
04 The Importance Of Identifying Your Target Audience_1 (3:08)
05 Using Chatgpt For Target Audience Research And Assessment (11:54)
Build Social Media and Blog Posts with ChatGPT 4 Prompts
Source Files
01 Project Preview (1:21)
02 Exploring Social Media Marketing And Automation (5:59)
03 Generating Social Media Posts (10:38)
04 Social Media Automation Tool - Socialbee - -Bonus- (6:40)
05 Automating Social Media Post Scheduling - -Bonus- (8:26)
06 Automating Social Media Reposting - -Bonus- (8:28)
07 Configuring Your Social Media Automation Timetable – -Bonus- (4:00)
08 Project Preview (1:11)
09 Generate Optimized Keywords And Blog Headlines (7:39)
10 Building An Seo-Enhanced Blog Post Quickly (10:07)
Build Emails, Ads and Videos with ChatGPT 4 Prompt Engineering
01 Introduction To Email Marketing And Its Significance (3:37)
Source Files
02 Building Effective Email Sequences (7:27)
03 Crafting Sales Page Copy (8:05)
04 Project Preview (1:07)
05 Producing Facebook Ads (10:00)
06 Generating Google Ads (9:44)
07 Generate Ads For Instagram And Twitter (7:36)
08 Project Preview (1:09)
09 Generating Unlimited Video Concepts (10:33)
10 Crafting A Full Youtube Video Script (10:00)
11 Youtube Seo Strategies (8:54)
Build Marketing Funnels and Analyze Customers with ChatGPT 4
01 Project Preview (1:26)
Source Files
02 Guides To Building Effective Marketing Funnels (4:01)
03 Defining Your Buyer Persona (9:38)
04 Generating A Lead Magnet (8:57)
05 Building Landing Page And Social Media Copy (9:02)
06 Composing A Comprehensive Email Sequence For Your Funnel (4:49)
07 Review Analysis And Optimization Of Products And Services (7:24)
Web Development, Branding and eCommerce with ChatGPT 4
12 01 Project Preview (1:57)
Source Files
12.02 Homepage, About Us, And Contact Us Page Copy (10:14)
12.03 Generate Meta Title And Descriptions (4:58)
12.04 Website Development With Chatgpt Crash Course (25:32)
13 01 Project Preview (1:10)
13.02 Creating Product And Business Names (7:52)
13.03 Developing Professional Taglines And Slogans For Your Brand (7:32)
13.04 Writing Product Descriptions For Your Online Store (4:46)
13.05 Building Faq’S For Services Or Products (4:54)
14 01 Conclusion (2:08)
Bonus - Tips And Tricks (7:43)
ChatGPT for C-Level Communications
01.02 What Is Chatgpt And Its Role With C-Level Management (1:35)
01 01 Course Requirements (1:48)
01.03 Overview Of Limitations And Capabilities (2:30)
02 01 Project Preview (1:43)
02.02 Drafting And Editing Business Content (13:36)
02.03 Branstorming Content Ideas (12:08)
02.04 Text Translation (13:39)
Source files
ChatGPT for Data Analysis and Task Management
03 Source file
03.01 Project Preview (1:20)
03.02 Code Writing And Debugging (14:25)
03.03 Data Analysis And Summarization From Lower-Level Management (12:17)
04.01 Project Preview (1:49)
04.02 Generating Work Schedules (17:13)
04.03 Preparing For Interviews (17:34)
04.04 Task Delegation With Chatgpt (17:13)
ChatGPT Effective Tips and Tricks
05 Source files
05.01 Project Preview (1:14)
05.02 Writing Clear And Specific Prompts (6:47)
05.03A Privacy Considerations (11:25)
05.03B Things To Look At When Working With Chatgpt (9:50)
05.04 How To Provide Feedback For Continuous Learning (8:54)
Conclusion (2:58)
Tips And Tricks (10:11)
Predict stock performance with ChatGPT
01b Source Files
01.01 Course Requirement_1 (3:20)
02 01 Project Preview_1 (2:03)
02 02A Analyze Financial Statements Of Stock (9:00)
02 02B Financial Ratio And Trend Analysis (4:25)
02 03 Balance Sheet, Income Statement And Cash Flow Statement (9:00)
02 04 Loopholes And Weaknesses In Stock Financials (8:39)
02 05 Analyze Historical Stock Performance (11:16)
02 06 Predict Stock Performance (5:08)
Stock Analysis with ChatGPT
02 Source Files
02 07 Market Share_1 (5:31)
02 08 Industry Analysis (7:48)
02 09 Management Team Analysis (8:25)
02 10 Analyze Stock Risks (6:56)
02 11 Valuation (8:11)
02 12 Explain Business Model Of A Company (6:24)
02 13 Perform A Swot Analysis (8:16)
02 14 Summarize A Company’S Earnings Report Calls (6:55)
02 15 Evaluate A Company’S Esg Credentials (4:39)
Build an Investment Plan with ChatGPT
03 Source Files
03 01 Project Preview_1 (0:48)
03 02A Invest Short Term (6:22)
03 02B Implementing Your Short-Term Investment Strategy (8:06)
03 03A Invest Long Term (5:58)
03 03B Analyzing The Results (7:27)
03 04A Using Chatgpt To Assess Your Risk Tolerance (7:32)
03 04B Customized Investment Recommendations Based On Individual Financial Goals And Risk Tolerance (5:26)
03 04C Implementing Your Customized Investment Plan (8:47)
Stock Market Prediction and Risk Analysis with ChatGPT
04 Source Files
04 01 Project Preview_1 (1:25)
04.02A Recent Past Stock Market State (7:44)
04.02B Analyzing Past Trends And Economic Events (9:24)
04.03A Present Stock Market State (6:29)
04.04A Future Stock Market State (8:12)
04.04B Insights On Macroeconomic Factors (7:09)
05 01 Project Preview_1 (2:22)
05.02 Analyze Credit Scores (7:56)
05.03 Assess Loan Applicant Risk (7:35)
Trading Strategies, Sentiment Analysis and Fraud Detection with ChatGPT
06 01 Project Preview_1 (1:12)
05 Source Files
06.02A Pick Stocks With Company Evaluation (6:00)
06.03A Build A Trading Strategy (8:54)
06.03B Test Trading Hypthothesis (8:29)
07 01 Project Preview_1 (1:03)
07.02 Chatgpt And Sentiment Analysis (8:52)
07.03 Analyzing Sentiments On Social Media Posts- (8:45)
08 01 Project Preview_1 (1:03)
08.02A Fraud Detection With Chatgpt (7:37)
08.02B Detecting Exploitation Prone Weaknesses (8:01)
08.03A Red Flags And Anomaly Detection (6:07)
08.03B Anomaly Detection Techniques (8:01)
Conclusion (2:20)
ChatGPT for Sales Best Practices
Source files
01 01 Course Requirements_1 (1:38)
01.02 Understanding Chatgpt (2:34)
01.03 The Role Of Ai In Sales And Lead Generation (1:53)
01.04. Overview Of How Chatgpt Can Improve Outreach Strategy (1:34)
02 01 Project Preview (1:11)
02.02 How To Make Specific Asks (16:07)
02.03 Defining Terms For Chatgpt (3:15)
02.04 Understanding And Setting The Right Tone For Your Messages (13:05)
02.05 The Limitations Of Ai In Sales And Lead Generation (12:45)
02.06 How To Utilize Chatgpt Effectively While Being Aware Of Its Limitations (16:09)
02.07 The Importance Of Checking And Editing Ai Output (6:15)
ChatGPT for Outreach Strategy
Source files
03 01 Project Preview (1:18)
03.02 Defining Your Audience For Effective Outreach (19:40)
03.03 Using Chatgpt To Discover Audience Pain Points And How Your Product Solves Them (11:47)
03.04 Identifying Common Objections And Questions With Chatgpt (18:56)
03.05 Generating Cold Call Scripts, Elevator Pitches, And Battle Cards For Discovery Calls (15:16)
ChatGPT for Lead Generation
Source files
04 01 Project Preview_1 (1:31)
04.02 Using Chatgpt To Generate Content Ideas For Nurturing Leads Through The Sales Funnel (19:10)
04.03 Sales Flow, Linked And Chatgpt (17:26)
Improve LinkedIn Sales with ChatGPT
Source files
05 01 Project Preview (0:59)
05.02 Understanding The Importance Of Linkedin For B2b Sales3 (3:04)
05.03A How To Use Chatgpt To Enhance Your Linkedin Sales Strategy (6:56)
05.03B Chatgpt And Linkedin Usecases (13:17)
05.03C Handling Lead Response With Chatgpt (6:48)
05.04 Best Practices For Using Chatgpt With Linkedin Message Templates For Higher Conversions- (8:36)
ChatGPT for Sales Role Play
Source files
06 01 Project Preview_1 (1:33)
06.02A Using Roleplay To Anticipate Pain Points And Objections (5:13)
06.02B Conversational Role Play (15:14)
06.03A Advance Techniques For Utilizing Chatgpt In Sales (9:55)
06.03B Advance Tips For Brainstorming And Analyzing Pain Points (10:25)
06.03C Secret Prompts For Better Response (18:16)
07 01 Privacy Considerations (19:27)
07.02 Feedbacks For Continuous Learning (5:21)
Measure Sales Performance with KPIs in Excel and ChatGPT
Source files
1 1 Course Requirement_1 (1:34)
02.01.Project Preview (0:57)
02.02. Sales Key Perfomance Indicators (Kpis) (10:16)
02.03.Measuring Salesperson Performance Using Kpis (5:48)
02.04.Marketing And Financial Kpis (6:49)
02.05.Customer-Related Kpis (10:20)
03.01.Project Preview (0:38)
03.02.Case Study Involving Kpis (3:09)
03.03. Joining Data Tables In Excel (7:28)
03.04.Cleaning Data Using Filters In Excel (5:19)
03.05.Determining Lead Conversion Time (7:18)
Sales Data Analysis and Visualization in Excel with ChatGPT
04.01. Project Preview_1 (1:19)
Source files
04.02. Aggregating Data By Regions, Categories, And Time Dimension (6:25)
04.03.Evaluating Salesperson Performance (13:59)
05.01. Project Preview (1:18)
05.02.Creating Charts To Visualize Sales Data (8:08)
05.03.Charting Region-Wise Percentage Contribution (6:22)
05.04.Charting Category-Wise Average Order Value (5:47)
05.05.Analyzing Lead Generation Trends (7:54)
05.06.Analyzing Salesperson Performance (6:26)
05.07.Building A Sales Dashboard (6:22)
05.08. Additional Charts For Sales Modeling (8:33)
Sales Modeling in Excel with ChatGPT
06 01 Project Preview (1:33)
Source file
06.02.Building The Whale Model (6:47)
06.03.Lead Segmentation Using Decision Trees (6:53)
06.04.Excel Preparation For Analysis (6:52)
06.05.Case Study On Lead Segmentation (5:05)
06.06.Building A Model In Excel (9:38)
06.07.Interpreting Results From Tree Nodes (5:25)
06.08.Interpreting Results Based On Classification Criteria (5:23)
06.09.Drawing Inferences From Model Results (5:30)
06.10.Making Predictions Using The Trained Model (3:19)
06.11.Advanced Customization Options For Models (4:37)
07 01 Project Preview (1:05)
07.02.Market Basket Analysis For Cross-Selling Opportunities (11:01)
07.03.Predicting Values Using The Trained Model (6:27)
Sales Forecasting with Machine Learning in Excel with ChatGPT
08 01 Project Preview_1 (3:11)
Source files
08.02.Modeling Trends And Seasonality (10:03)
08.03.Additive And Multiplicative Time Series Models (9:30)
08.04.Linear Regression Model For Sales Forecasting (7:43)
08.05.Preprocessing Data For Regression (12:14)
08.06.Building A Linear Regression Model (8:27)
08.07.Predicting Values Using The Trained Model (8:26)
08.08.Using Xlstat For Forecasting (7:56)
09 01 Project Preview (1:52)
09.03.Predicting Churn Probability Using The Trained Model (11:05)
09.04.Evaluating Model Accuracy Using A Confusion Matrix (12:28)
ChatGPT Prompts and Best Practices for Python Coders
Source Code
1 Introduction & Role Of Prompts In Chatgpt Conversations (8:14)
2. Benefits Of Clear Prompts (4:23)
3. Examples Of Good And Bad Prompts (11:18)
4. The 4-Step Approach To Write The Best Prompts Part 1 (6:57)
5. The 4-Step Approach To Write The Best Prompts Part 2 (5:37)
6. Example Python Prompts Mehdi Ali (14:40)
07. Unit Testing Any Python App (20:28)
Build Python Projects with OpenAI
1 Initial installation and configuration (7:02)
Source Code
2. Making A Simple Chat Bot App (12:36)
3. Image Generation Using Python And Chatgpt (11:35)
4.1. Transcribing Speech To Text (8:46)
4.2. Translating Speech To English (6:42)
Build a ChatGPT Clone with Python Custom UI
1. Introduction And Demo (2:31)
Source files
2. Backend Of The Chat Bot (10:20)
3. Frontend Of The Chat Bot (18:20)
4. Troubleshooting And Testing (9:06)
Build a ChatGPT Chrome Extension with Python
1 Introduction And Project Setup (6:18)
Source Code
2. Setting Up The Configuration Files (9:26)
3. Completing The Front End Of The Extension (11:22)
4. Completing The Backend Of The Extension (20:35)
5. Testing And Troubleshooting (11:13)
Build AI Web Apps with ChatGPT and Python
1 Introduction And Project Setup (5:04)
Source Code
2. Coding The Backend Of The App (18:16)
3. Coding The Frontend Of The App (21:47)
4. Testing And Troubleshooting The App (4:34)
Build Image Generation Web App with OpenAI API
1 Introduction And App Setup (4:18)
Source Code
2. Completing The Backend Of The App (7:21)
3. Completing The Front End Of The App (8:03)
4. Adding Styles To The App (7:17)
5. Testing And Troubleshooting (9:44)
Build coding and data science AI apps with OpenAI Python API
Source files
01 OpenAI API Models To Work With (2:53)
02 How OpenAI API Works (2:09)
03 Adjust OpenAI API Model Parameters (7:58)
04 Use Openai Api To Answer Questions Like Chatgtp (10:19)
05 Correct Grammar With Openai Api (3:30)
06 Summarize And Simplify Text With Openai Api (4:03)
07 Translate Text With Openai Api (3:04)
08 Generate Code With Openai Api (7:11)
09 Explain Code With Openai Api (5:24)
10 Calculate Time Complexity With Openai Api (3:40)
11 Translate Programming Languages With OpenAI API (4:24)
12 Fix Bugs In Code With Openai Api (3:19)
13 Generate Sql Queries With Openai Py (5:15)
14 Build Structured Table Data From Long Form Text (4:29)
15 Classify Items Into Categories With Openai Api (4:50)
16 Generate Spreadsheets And Lists With Chatgpt Openai Api (5:46)
Automate marketing and copywriting with ChatGPT API Python
01 Convert Notes To Summary With Openai Api (5:40)
Source files
02 Add Emotional Sentiment To Text With Openai Models (9:40)
03 Generate Questions On A Topic With Gpt Turbo (9:26)
04 Generate Text Conversation With Chatgpt Api (5:19)
05 Classify Text Emotion Sentiment With Chatgpt Models (5:09)
06 Extract Keywords From Text With Chatgpt Api (4:31)
07 Convert Product Description To Ad With Chatgpt Python (3:57)
08 Generate Product Names With Chatgpt In Python (4:04)
09 Extract Information From Text With Chatgpt Api (2:57)
Customize OpenAI machine learning with Python web scraping data
06-01 Build Html Parser With Python (4:31)
Source files
06-02 Scrape Hyperlinks From Url Webpage With Python (4:09)
06-03 Filter Out Urls Not Part Of Domain (7:03)
06-04 Save Web Content To Files With Python (10:07)
07-01 Convert Text To Csv With Python (6:36)
07-02 Remove Whitespace And Lines From Text With Python (4:58)
07-03 Tokenize Text With Python For Machine Learning Models (2:50)
07-04 Split Long Lines With Python (4:11)
07-05 Split Pandas Dataframe Into Sections With Python (7:19)
07-06 Embed Text For Machine Learning With Openai Api (8:05)
08-01 Embed Question With Python (5:48)
08-02 Answer Questions About Your Data With Customized Openai Model (10:36)
Build custom OpenAI ChatGPT API Python apps with embeddings
Source files
09-01 Load And Read Pdf In Python (3:40)
09-02 Build Vector Index From Pdf Text In Python (4:32)
09-03 Answer Questions About Pdf With Chatgpt Model In Python (5:10)
10-01 Generate Review Data With Chatgpt Api (8:14)
10-02 Format Python Text To Multidimensional Pandas Dataframe (11:50)
10-03 Change Column Data Type In Pandas Dataframe (2:40)
10-04 Embed Text Data With Openai Api (6:25)
Automate Power BI DAX and M with ChatGPT
Source files
01 Generate Employee Dataset With Chatgpt (4:50)
02 Copy Data Into Power Bi And Generate A Query (10:34)
03 Calculate Employee Tenure With Power Query (10:39)
04 Filter Out Terminated Employees With Power Query (11:31)
Generate queries to analyze employee performance
01 Filter By Performance Rating With Power Query_1 (7:12)
Source
02 Categorize Performance With Power Query (5:49)
03 Compare Employee Performance With Location And Education (14:57)
04 Find Top Performing Employees With Power Query (10:26)
05 Calculate Performance For Age Groups (5:35)
Generate DAX queries with ChatGPT for Power BI
Source files
01 Generate Simple Dax Queries With Chatgpt For Power Bi (8:02)
02 Count Rows By Category With Dax (11:27)
Build DAX queries to generate tables with ChatGPT
Source
01 Build Dax Queries To Generate Tables With Chatgpt (4:49)
02 Group Employees With Dax Queries (3:30)
Build visualizations in Power BI with ChatGPT
Source files
01 Build Visualizations In Power Bi With Chatgpt (6:58)
Automate Python Data Visualization in Power BI with ChatGPT
Source
00 Project Preview - Python Data Visualization In Power Bi With Chatgpt (3:54)
01 Generate Credit Card Data With Chatgpt (7:07)
02 Detect Anomalies With Z-Score In Python (18:39)
Visualize data with Python in Power BI
Source
01 Visualize Transaction Amount For Each Merchant (6:55)
02 Visualize Trend Of Transaction Amounts Over Time (18:25)
03 Show Pie Distribution Of Transaction Amounts By Category (8:48)
04 Show Histogram Distribution Of Transaction Amounts (2:11)
Visualize data across categories with ChatGPT
01 Compare Amounts Across Categories With Box Plot (4:23)
Source
02 Show Amount For Each Period By Category (7:14)
03 Visualize Transaction Amounts For Each Merchant (14:00)
04 Build A Word Cloud For Product Names (5:07)
Automate Python Machine Learning with ChatGPT
Source files
00 Project Preview - Python Machine Learning With Chatgpt (2:03)
01 What Kinds Of Machine Learning Can I Do On This Data (2:16)
02 Build A Linear Regression Model For Credit Card Dataset (8:35)
02B Visualize Linear Regression Training With Gif (10:43)
03 Logistic Regression With Confusion Matrix And Scatter Plot (14:26)
Build tree machine learning models with ChatGPT
Source files
01 Build Decision Tree Model For Credit Card Dataset_1 (8:03)
02 Build A Random Forest Model With Bar Plot (4:17)
Build advanced models with ChatGPT and Python
Source files
01 Build Svm Scatter Plot With Chatgpt (21:28)
02 Build Gradient Boosting With A Bar Chart (14:22)
Automate Excel Data Manipulation with Python and ChatGPT
01 Algorithms To Handle Missing Data (5:13)
Source
02 Generate Excel Data With Missing Data In Python And Chatgpt (3:22)
03 Fill In Missing Excel Data With Python Imputation And Chatgpt (3:51)
04 Delete Missing Excel Data With Python And Chatgpt (5:03)
05 Fill In Missing Data With KNN Imputation (5:24)
Categorical data manipulation with Python and ChatGPT
Source
01 What Is Data Encoding (5:36)
02 Perform Excel Data Encoding With Python And Chatgpt (7:18)
03 Choose Data Encoding Technique (3:01)
Statistics for data science with Python and ChatGPT
Source
01 What Is Statistics For Data Science_1 (3:31)
02 Levels Of Data Measurement (3:58)
03 Generate Different Types Of Data With Chatgpt (10:02)
How to measure data
Source
01 Measures Of Central Tendency In Data (5:00)
02 Measures Of Variability In Data (4:09)
03 What Is Skewness In Data Science (3:38)
04 Generate Skewed Datasets With Chatgpt (7:44)
05 What Are Covariance And Correlation Data Measurements (2:37)
06 Measure Covariance And Correlation Of Dataset With Chatgpt (6:50)
Automate Data Distribution Visualization with ChatGPT and Python
Source
01 What Are Probability Distribution Functions In Data Science_ (4:39)
02 Calculate Probability Distribution Functions Of A Dataset With Chatgpt (5:22)
Normal Probability Distribution with Python and ChatGPT
01 What Is Normal Probability Distribution (4:14)
Source
02 Calculate Pdf Of Normal Distribution Dataset (5:35)
03 What Is The Central Limit Theorem (2:45)
Binomial Probability Distribution with Python and ChatGPT
Source
01 What Is Binomial Probability Distribution (2:52)
02 Calculate Pdf Of Binomial Distribution Dataset (10:50)
Poisson Probability Distribution with Python and ChatGPT
Source Files
01 What Is Poisson Probability Distribution (2:42)
02 Visualize Poisson Distribution With Chatgpt And Python (2:31)
Uniform Probability Distribution with Python and ChatGPT
Source Files
01 What Is Uniform Probability Distribution (2:36)
02 Visualize Uniform Distribution With Chatgpt And Python (3:55)
Bernoulli Probability Distribution with Python and ChatGPT
01 What Is Bernoulli Probability Distribution_1 (2:37)
02 Visualize Bernoulli Distribution With Chatgpt And Python (6:43)
Source Files
Build a Machine Learning Chatbot from Scratch
Source Files
01-01 Build Patterns And Responses Training Data (6:34)
01-02 Tokenize Chat Data For Training (4:30)
02-01 Clean Chat Data For Machine Learning (3:04)
02-02 Build Bag Of Words For Ml Model (4:24)
02-03 Split Data For Machine Learning (3:34)
03-01 Build A Tensorflow Machine Learning Model For Chat (4:54)
03-02 Test Chatbot Machine Learning Model (9:09)
03-03 Categorize Chat Question With Ml (7:25)
03-04 Pick A Chatbot Response In Top Category (8:18)
Build Advanced Chatbot with Transformer Neural Network
01 Introduction To Transformer Neural Networks (4:31)
02 Transformer Project Overview (7:59)
00 Source files
01 Preprocess text data for Transformer chatbot ML
01 Connect To Google Drive Dataset In Colab (3:48)
02 Read Text Files In Python (9:17)
03 Read Movie Conversation Text File In Python (10:58)
04 Clean Text Data For Nlp (6:09)
05 Remove Contractions From Text Data With Python (9:35)
06 Preprocess Text Data For Transformer Chatbot Ml (6:16)
01 Source files
02 Tokenize and filter sentences with Python
01 Build Tokenizer With Tfds (7:31)
02 Add Padding To Tokenized Sentences With Python (3:06)
03 Build Tensorflow Dataset For Ml (3:13)
02 Source Files
03 Build multi head attention layer for chatbot ML Python
01 Calculate Scaled Dot Product Attention (4:56)
02 Set Up Multi Head Attention Layer In Python Nn (5:22)
03 Split Attention Layer Into Multiple Heads (4:08)
04 Add Scaled Dot Product Attention And Final Layer (5:22)
03 Source files
04 Build token masks for neural network
01 Mask Padding Tokens With Python (4:38)
02 Build Lookahead Mask For Future Tokens (3:53)
04 Source files
05 Build positional encoding machine learning
02 Combine Input And Positional Encoding (5:36)
01 Build Input Encoder For Neural Network (5:28)
06 Source files
06 Build input encoder for neural network
01 Build Input Encoder For Neural Network (5:28)
02 Combine Input And Positional Encoding (5:36)
06 Source files
07 Build decoder for NLP ML model
02 Combine Output And Positional Encoding For Decoder (5:28)
01 Set Up Decoder Layer With Python (6:31)
07 Source files
08 Combine encoding and decoding in NN
02 Build Custom Ml Model Learning Rate (3:37)
01 Combine Encoding And Decoding In Nn (7:08)
03 Build Custom Model Loss Function (3:17)
04 Compile Neural Network With Python (4:30)
04B Zero Out Padding Tokens In Attention (1:44)
05 Limit And Pad Tokenized Sentences (5:30)
08 Source files
09 Evaluate chatbot neural network
02 Decode Tokens Into Words (2:30)
01 Handle New Chatbot Question Input (5:13)
09 Source files
Image Generation with Open Source Stable Diffusion Machine Learning Python
01 What Are Diffusion Models (2:40)
Source files
02 What Is The Diffusers Library (8:36)
03 What Is Stable Diffusion (3:09)
01 Image generation with Stable Diffusion Python
source files
01 Load Stable Diffusion Model In Colab (7:54)
02 Image to image translation with Stable Diffusion Python
01 Load Pretrained Image Translation Model (3:05)
Source files
02 Preprocess Original Image For Translation With Python (4:31)
03 Generate Image Variant With Prompt (3:50)
03 Inpainting with Stable Diffusion Python
Source files
01 Load Images For Inpainting (2:43)
02 Generate Inpainted Image With Prompt (4:48)
Image Generation with Diffusion Neural Network
01 Load Flower Image Dataset In Colab (4:34)
Source Files
02 Reshape Image Data With Python (4:48)
03 Preprocess Image Data With Python (3:08)
02 Calculate Kernel Inception Distance
Source Files
01 Calculate Kernel Inception Distance In Python (6:34)
02 Update Kernel State With Keras (8:49)
03 Build downsampling and upsampling with Keras
Source files
01 Build Residual Block With Python (3:24)
02 Build Down And Up Blocks With Keras (3:29)
04 Build a CNN with Keras
Source Files
01 Build Sinusoidal Embedding With Tensorflow (3:35)
02 Build A Cnn For Image Generation (5:30)
05 Build a diffusion model for image generation
Source Files
01 Build A Diffusion Model For Image Generation (4:02)
02 Denoise Images In Python (2:09)
03 Build A Diffusion Schedule With Tensorflow (3:00)
04 Build Reverse Diffusion Algorithm (4:45)
06 Generate images with diffusion
Source Files
01 Generate Images With Diffusion (3:07)
02 Build Training Step For Model (7:49)
03 Build Keras Model Test Step (3:58)
07 Train and visualize image generation model
Source files
01 Run Model Training For Diffusion Image Generation_1 (5:51)
02 Visualize Image Generation Results (4:59)
▶️ Level 5: Tech Career Interview Prep 🚀🔥
Source Code
01 Introduction Python (6:17)
02 Fizzbuzz Python (5:57)
Python interviews - Time complexity
Source Code
00 Types Of Time Complexity Python (21:51)
01 Types Of Better Time Complexity Python (14:51)
Python interviews - String and Array Interview Questions
Source Code
01 Reverse Words In A String Python (2:44)
02 Rotate Array Python (8:56)
03 Kth Smallest Element In An Array Python (11:53)
Python interviews - Matrix Interview Questions
Source Code
01 Spiral Matrix Python (13:26)
02 Number Of Islands Python (18:54)
Python interviews - Linked List Interview Questions
01 Implement A Stack Using An Array Python (9:45)
Source Code
02 Add Two Numbers As Reversed Linked Lists Python (16:10)
03 Reverse A Linked List Python (16:10)
Python interviews - Binary Tree Interview Questions
01 Inorder Traversal Python (11:08)
Source Code
02 Preorder Traversal Python (8:48)
03 Postorder Traversal Python (7:05)
04 Binary Tree Maximum Path Sum Python (8:43)
Python interviews - Graph Interview Questions
Source Code
01 Find Strongly Connected Components Python (10:29)
Python interviews - Sorting Interview Questions
01 Bubble Sort Algorithm Python (9:11)
Source Code
02 Selection Sort Algorithm Python (5:56)
03 Insertion Sort Algorithm Python (4:29)
04 Quicksort Algorithm Python (4:29)
05 Merge Sort Algorithm Python (7:25)
06 Time Complexity Of Different Sorting Algorithms (2:55)
Python interviews - Dynamic Programming Interview Questions
01 Coin Change Python (7:21)
Source Code
02 Edit Distance Python (11:33)
03 Distinct Subsequences Python (6:59)
04 Maximum Sum Subarray Python (4:56)
Python interviews - Bit Manipulation Interview Questions
01 Bitwise And Shift Operators (7:02)
Source Code
02 Single Number Python (4:32)
03 Number Of 1 Bits Python (4:31)
04 Sum Of Two Integers Python (5:14)
05 Bitwise And Of A Range Python (5:36)
Python interviews - Permutations and Combinations
Source Code
01 Permutations Python (10:08)
02 Distinct Permutations Of A String Python (7:49)
03 Letter Combinations Of A Phone Number Python (11:54)
Python interviews - Math Interview Questions
01 Reverse Integer Python (9:53)
Source Code
02 Palindrome Number Python (9:49)
03 Excel Sheet Column Number Python (6:04)
Machine Learning Interview Challenges
01-00. Intro (1:54)
00. Course Intro (5:09)
01-01. What Is Machine Learning (17:47)
01-02. Types Of Machine Learning(1) (10:48)
01-03. Building A Machine Learning Model(1) (17:02)
02-00. Intro (2:44)
02-01. How To Choose An Algorithm(1) (16:42)
02-02. Common Machine Learning Algorithms Part 1 (15:58)
02-03. Common Machine Learning Algorithms Part 2 (22:52)
02-04. Common Machine Learning Algorithms Part 3 (13:03)
02-05. Comparison Interview Questions (16:20)
03-00. Intro (2:08)
03-01. Data Related Errors (16:55)
03-02. Model Related Errors (11:34)
03-03. Results Testing Techniques (11:18)
04-00. Intro (2:14)
04-01. Missing_Corrupted Data (5:08)
04-02. Selecting Important Variables (3:18)
04-03. Fixing Multicollinearity- (3:56)
04-04. Kernel Tick (3:21)
04-05. Slow Machine_Limited Memory (4:59)
04-06. Classification And Random Sampling (3:38)
04-07. Low Training Error With High Validation Error (4:40)
04-08. Cross Validation On Time Series Data (3:39)
04-09. Amazon Recommendation System (5:26)
05. Course Summary And Outro (3:12)
Source Files
Crack the Data Science Interview with Python - Generate property data with Pandas
00 Data Generation And Manipulation Question Overview (8:14)
Source files
01 Generate Property Data With Pandas (9:20)
02 Generate Data Within Range (6:43)
03 Generate Property Type With Probabilities (2:24)
04 Generate Number Of Rooms Based On Property Type (7:20)
Generate and clean missing data
Source Files
01 Simulate Missing Data With Python (3:59)
02 Clean Dataset With Python (6:46)
03 Find Incorrect Data Type Values (6:07)
04 Change Data Type Of Column (3:50)
Manipulate data with Pandas
Source files
01 Optimize Column Names In Pandas (5:05)
02 Convert Int Column To Bool (3:41)
03 Perform One Hot Encoding (3:17)
Fix Corrupted Image Dataset Interview Question
source files
01 Fix Corrupted Dataset (6:58)
02 Count Number Of Values In Array Column (4:14)
Image Generation Machine Learning Interview Questions
Source Files
01 What Is Discriminative Modeling (1:00)
02 What Is Generative Modeling (1:10)
Diffusion Deep Learning Interview Questions
02 How Diffusion Works In Deep Learning (2:17)
01 What Are Diffusion Models (1:08)
03 Forward And Backward Diffusion In Ml (1:52)
04 What Is A U-Net Ml Model (1:30)
Stable Diffusion Interview Questions
01 Steps Of Latent Reverse Diffusion In Stable Diffusion_1 (1:44)
02 What Is Latent Space (3:14)
03 What Is The Manifold Hypothesis In Ml (1:39)
Dimensionality Reduction Data Science Interview Questions
02 What Is Principal Component Analysis (1:16)
01 What Is Dimensionality Reduction_1 (1:48)
Autoencoder Machine Learning Interview Questions
02 What Are Encoders And Decoders In Ml (2:13)
01 What Are Autoencoders (1:38)
03 How Do Autoencoders Work (2:30)
04 What Are Variational Autoencoders (2:59)
05 What Is A Vector Quantized Variational Autoencoder (1:45)
GAN Neural Network Interview Questions
02 What Are Discriminators And Generators (3:58)
01 What Is The Structure Of A Generative Adversarial Network_1 (4:17)
03 What Is Zero-Shot Learning (2:55)
Scoring Interview Questions
01 What Is Inception Score_1 (3:32)
02 What Is Frechet Inception Distance (3:58)
03 How Fid Works In Ml (1:48)
04 What Is Kernel Inception Distance (1:02)
Signal Processing Interview Questions
02 What Is Signal Data (3:40)
01 What Is Time-Series Data (1:39)
03 Continuous Signals Vs Discrete Signals (3:12)
04 What Is Nyquist Rate (1:42)
Fourier Analysis Interview Questions
01 What Are Periodic Signals (1:51)
02 What Is Fourier Transform (6:58)
Beginner Python Array Interview Questions with Time and Space Complexity
00A Course Overview (1:18)
Source Files
01A Question - Find Maximum Sum Subarray Of Size K (2:00)
01B Find Maximum Sum Subarray Of Size K (5:18)
01C Explanation - Find Maximum Sum Subarray Of Size K (4:00)
02A Question - Find Smallest Subarray With Given Sum (2:06)
02B Find Smallest Subarray With Given Sum (5:50)
02C Explanation - Find Smallest Subarray With Given Sum (3:41)
03A Question - Find Pair With Target Sum (1:17)
03B Find Pair With Target Sum (5:29)
03C Explanation - Find Pair With Target Sum (2:39)
04A Question - Remove Duplicates From List (1:26)
04B Remove Duplicates From List (3:30)
04C Explanation - Remove Duplicates From List (3:37)
05A Question - Remove Targets From Array (1:17)
05B Remove Targets From Array (3:50)
05C Explanation - Remove Targets From Array (2:53)
06A Question - Square A Sorted Array (1:40)
06B Square A Sorted Array (4:55)
06C Explanation - Square A Sorted Array (5:11)
Beginner Python Sort Interview Questions with Time and Space Complexity
03C-01A Question - Cyclic Sort (1:36)
03A Course Overview (1:24)
03C-01B Cyclic Sort (4:19)
03C-01C Explanation - Cyclic Sort (5:00)
03C-02A Question - Find Duplicate Number (1:06)
03C-02B Find Duplicate Number (3:32)
03C-02C Explanation - Find Duplicate Number (2:49)
03C-03A Question - Find Duplicate Without Modifying Array (1:45)
03C-03B Find Duplicate Without Modifying Array (4:43)
03C-03C Explanation - Find Duplicate Without Modifying Array (4:50)
03C-04A Question - Find All Duplicate Numbers (0:59)
03C-04B Find All Duplicate Numbers (3:47)
03C-04C Explanation - Find All Duplicate Numbers (6:51)
03C-05A Question - Find Missing Number (1:07)
03C-05B Find Missing Number (4:23)
03C-05C Explanation - Find Missing Number (9:18)
03C-06A Question - Find All Missing Numbers (1:12)
03C-06B Find All Missing Numbers (3:32)
03C-06C Explanation - Find All Missing Numbers (7:46)
03C-07A Question - Find Corrupt Pair (1:14)
03C-07B Find Corrupt Pair (4:00)
03C-07C Explanation - Find Corrupt Pair (4:52)
Source Files
Beginner Python Tree Interview Questions with Time and Space Complexity
06C-01A Question - Traverse Binary Tree Level Order (2:34)
06A Course Overview (1:24)
06C-01B Traverse Binary Tree Level Order (6:49)
06C-01C Explanation - Traverse Binary Tree Level Order (4:54)
06C-02A Question - Traverse Binary Tree Reverse Level Order (1:58)
06C-02B Traverse Binary Tree Reverse Level Order (7:01)
06C-02C Explanation - Traverse Binary Tree Reverse Level Order (4:20)
06C-03A Question - Find Level Averages In Binary Tree (1:16)
06C-03B Find Level Averages In Binary Tree (7:30)
06C-04A Question - Find Level Order Successor (1:53)
06C-04B Find Level Order Successor (8:11)
06C-05A Question - Find Minimum Depth Of Binary Tree (1:33)
06C-05B Find Minimum Depth Of Binary Tree (5:29)
06C-06A Question - Find Maximum Depth Of Binary Tree Traversing All Levels (0:59)
06C-06B Find Maximum Depth Of Binary Tree Traversing All Levels (5:33)
06C-07A Question - Find Right View Of Binary Tree (1:15)
06C-07B Find Right View Of Binary Tree (6:27)
Beginner Python Heap Interview Questions with Time and Space Complexity
04A Course Overview (1:14)
Source Files
04C-01A Question - Find Top K Numbers (0:47)
04C-01B Find Top K Numbers (4:03)
04C-01C Explanation - Find Top K Numbers (2:44)
04C-02A Question - Find Kth Smallest Number (1:03)
04C-02B Find Kth Smallest Number (4:32)
04C-02C Explanation - Find Kth Smallest Number (2:16)
04C-02C Explanation - Find Kth Smallest Number_1 (2:16)
04C-03A Question - K Closest Points To Origin (1:03)
04C-03B K Closest Points To Origin (7:59)
04C-03C Explanation - K Closest Points To Origin (2:01)
04C-04A Question - Find Minimum Cost To Connect Ropes (2:00)
04C-04B Find Minimum Cost To Connect Ropes (4:42)
04C-04C Explanation - Find Minimum Cost To Connect Ropes (2:11)
Modified Binary Search Python Questions
08-01A Question - Find Bitonic Array Maximum (1:50)
08-01B Find Bitonic Array Maximum (4:34)
08-02A Question - Order Agnostic Binary Search (1:27)
08-02B Order Agnostic Binary Search (5:47)
Beginner Python Linked List Interview Questions with Time and Space Complexity
05A Course Overview (1:14)
Source Files
06-01A Question - Is Linked List Cycle (1:15)
06-01B Is Linked List Cycle (5:01)
06-01C Explanation - Is Linked List Cycle (2:41)
06-02A Question - Find Length Of Linked List Cycle (1:17)
06-02B Find Length Of Linked List Cycle (6:25)
06-02C Explanation - Find Length Of Linked List Cycle (3:43)
06-03A Question - Find Middle Node Of Linked List (1:08)
06-03B Find Middle Node Of Linked List (4:25)
06-03C Explanation - Find Middle Node Of Linked List (1:36)
Subsets Beginner Python Questions
07-01A Question - Find Distinct Subsets (1:19)
07-01B Find Distinct Subsets (5:48)
07-02A Question - Find Subsets With Duplicates (2:02)
07-02B Find Subsets With Duplicates (4:06)
02.04 Understanding And Setting The Right Tone For Your Messages
Lesson content will be unlocked within 30 minutes.
Teachable is working on this bug.
No further action will be required on your part
.
Thank you for your patience