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Beginners Guide to Coding in Python (20 Hours)
Mammoth Interactive Courses Introduction
Source Files
Preface
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Code Python on the Web
What is Google Colab (4:24)
What If I Get Errors (2:40)
How Do I Terminate a Session (2:40)
(Prerequisite) Introduction to Python
Source code
Introduction (4:42)
Variables (19:17)
Type Conversion Examples (10:04)
Operators (7:04)
Operators Examples (21:52)
Collections (8:23)
Lists (11:38)
Multidimensional List Examples (8:05)
Tuples Examples (8:34)
Dictionaries Examples (14:24)
Ranges Examples (8:30)
Conditionals (6:41)
If Statement Examples (10:16)
If Statement Variants Examples (11:18)
Loops (7:00)
While Loops Examples (11:30)
For Loops Examples (11:18)
Functions (7:47)
Functions Examples (9:16)
Parameters And Return Values Examples (13:46)
Classes And Objects (11:13)
Classes Example (13:11)
Objects Examples (9:54)
Inheritance Examples (17:26)
Static Members Example (11:03)
Summary And Outro (4:06)
Intro to HTML
00 How To Become A Web Developer (7:40)
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 (11:32)
06 Spacing Out Items With Flexbox (9:31)
Python and Flask Web Development Bootcamp
Source Files
Project Preview (4:13)
What Is Flask (3:45)
Nrog Update
What You-ll Need (1:48)
Build Your First Flask App (13:26)
Render HTML On Multiple Pages (10:53)
Build Page Templates With HTML (9:31)
Build Dynamic Page Templates (5:36)
Display JSON Data (5:21)
Build A Template To Show All Data (9:16)
Python and SQLite Bootcamp - Learn to Build Databases
Source Files
What Is Sqlite (4:01)
Project And Database Preview (2:37)
Create A Database (4:00)
Build Database Tables (5:25)
Insert Records (9:18)
Select Records (5:48)
Connect To A Database (3:19)
Build A Row From User Input (10:27)
Check If Entry Already Exists (5:39)
Introduction To SQL Joins (3:53)
Build SQL Joins (11:32)
What You-ll Need (1:54)
Creating Your First Movie Recommender System: A Comprehensive Guide to Building Basic Film Suggestion Engines
Source Files
Introduction To Recommender Systems (9:08)
How To Evaluate Recommender Systems (14:54)
Content Based Recommendations (4:37)
Neighborhood Based Collaborative Filtering (2:22)
Project Preview (1:59)
Load Data As Pandas Dataframes (12:17)
Merge Movies And Ratings Dataframes (8:30)
Build A Correlation Matrix (6:20)
Test The Recommender (6:55)
(Prerequisite) Introduction to Machine Learning
What Is Machine Learning (5:26)
Types Of Machine Learning Models (12:17)
What Is Supervised Learning (11:04)
What Is Unsupervised Learning (8:17)
How Does A Machine Learning Agent Learn (7:38)
What Is Inductive Learning (4:11)
Performance Of A Machine Learning Algorithm (4:14)
Handle Noise In Data (5:22)
Powerful Tools With Machine Learning Libraries- (12:11)
Mastering the Basics: Constructing a Movie Recommendation System using Machine Learning
Source Files
Load Data Into Dataframes (6:50)
Project Preview (4:51)
Find A Recommendation Based On Different Movie Features (16:03)
Calculate Distance Between Users (5:59)
Find Similar Users With Euclidean Distance (9:26)
Define Similarity Between Users (6:29)
Find Top Similar Users (8:05)
Recommend A Movie Based On User Similarity (8:08)
What Is K Nearest Neighbours (8:07)
Recommend A Movie With A K Nearest Neighbors Classifier (12:23)
Create A Sample User For Testing (11:09)
Recommend Movies To Sample User (3:08)
Machine Learning User Recommendations with Profiles and Items
Source files
Load Data For Machine Learning (15:14)
Process Data For Machine Learning (11:25)
Build Categories (9:31)
Regression Introduction (8:58)
What Is Regression (19:55)
Build A Ridge Regression Model (13:43)
Evaluate Model Error (7:04)
Visualize Top Features Affecting Rating (11:27)
Build A Lasso Regression Model (8:01)
Visualize Top Features From Lasso Regression (8:07)
Determine Which Model Is Best (3:28)
Load Data For A Neural Network (9:16)
Build A Singular Value Decomposition Algorithm (10:14)
Calculate Model Error (11:27)
Build a Dense Neural Network to Recommend Movies
Source files
What Is Deep Learning (7:42)
What Is A Neural Network (8:47)
What Is Unsupervised Learning (8:17)
Build A Neural Network (15:16)
Train The Neural Network (12:27)
Project Preview (2:38)
Load Data Into Dataframes (5:28)
Explore Data In Our Dataset (3:49)
Build A Rating Pivot Table (5:22)
Calculate Average Rating Of A Movie (5:51)
Find Ratings For A Movie In Every Slice (6:17)
Find Rating Averages For Every Movie In The Slice (7:54)
Build An Average Ratings Column (13:25)
Python Chatbot Bootcamp with Pandas, NumPy and SciKit (Natural Language Processing - Build 2 Chatbots)
Source Files
What Is Natural Language Processing (5:39)
Projects Preview (4:49)
What Is Text Vectorization (7:34)
Train A Vectorizer (8:50)
Chat With The User (11:04)
Define A Basic Intent Classifier (7:42)
Define A Basic Generative Model (4:05)
Test The Chatbot (9:33)
PySpark - Build DataFrames with Python, Apache Spark and SQL
Source Files
What Is Apache Spark (2:37)
Project Preview (2:33)
What Are Resilient Distributed Datasets (1:08)
What Is A Dataframe (1:47)
What You-ll Need (1:47)
Start A Spark Session (3:47)
Load Data As A CSV (6:02)
Perform Basic Dataframe Operations (4:02)
Format Dataframe Table (5:14)
Perform Dataframe Math Operations (7:32)
Perform Dataframe Queries (14:22)
Build SQL Queries With Spark (7:24)
Scrape the Web - Python and Beautiful Soup Bootcamp
Source Files
What You-ll Need (1:30)
What Is Web Scraping (5:39)
Build An Html Webpage To Scrape (12:42)
Select Data Structures From A Webpage (5:48)
Extract Urls And Text (5:24)
Work With Tags (8:06)
Work With Attributes (5:19)
Add Navigation To A String (5:29)
Navigate Html Contents (7:16)
Find All Filter (4:52)
Build Interactive Python Dashboards with Plotly and Dash
Source Files
What Is Plotly And Dash (3:59)
Project Preview (1:39)
What You-ll Need (2:09)
Build A Dash App (11:44)
Build A Graph In The Dash App (12:05)
Load Data From Vega Datasets (5:33)
Build The Layout (10:27)
Build A Chart With Altair (11:56)
Python Data Analysis Bootcamp with Pandas and NLTK - Natural Language Processing
Source Files
Project Preview (3:38)
Convert Csv File To A Python List (13:49)
Tokenize Text Data (26:25)
Find Most Popular Lemmatized Words (11:36)
Build Dataframes Per Part Of Speech (3:56)
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)
Source Files
Create A Dataset (5:17)
Project Preview (3:29)
Vectorize Text (16:27)
Build A Word Cloud (7:08)
Reduce Data Dimensionality With Principal Component Analysis (6:08)
Perform Unsupervised Classification With K-Means Clusters (17:33)
Data Mining with Python and NumPy - Build a Video Recommender System
Source Files
Project Preview (2:48)
Build A Dataset (23:44)
Compute Support And Confidence - If A Person Watches X, They Will Watch Y (10:06)
Compute Support And Confidence For All Channels (14:21)
Determine Which Videos Are Best To Recommend (9:57)
Find Rating Averages For Every Movie In The Slice
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