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Catalog / All levels / Python Coding Essentials Bundle - Build Projects and Learn to Code
Mammoth Club All levels 15 sections 141 lectures

Python Coding Essentials Bundle - Build Projects and Learn to Code

Created by John Bura
01
Skill level
All levels
02
Sections
15
03
Lectures
141
04
Instructor
John Bura
What's inside

This course includes.

✓
15
Sections
✓
141
Lectures
✓
140
Resources
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

15 sections · 141 lectures
+ 00 Intro to HTML (Prerequisite for Flask) 7 lectures
00 How To Become A Web Developer Locked
01 HTML Basics Locked
02 CSS Basics Locked
03 Add Images To Website With HTML Locked
04 Link To Pages With HTML Hyperlinks Locked
05 Positioning Items On A Webpage With CSS Flexbox Locked
06 Spacing Out Items With Flexbox Locked
+ 01 Python and Flask Web Development Bootcamp 10 lectures
00 Project Preview Locked
01 What Is Flask Locked
02 What You'll Need Locked
03 Nrog Update Locked
04 Build Your First Flask App Locked
05 Render HTML On Multiple Pages Locked
06 Build Page Templates With HTML Locked
07 Build Dynamic Page Templates Locked
08 Display JSON Data Locked
09 Build A Template To Show All Data Locked
+ 02 Python and SQLite Bootcamp - Learn to Build Databases 12 lectures
00 What Is Sqlite Locked
00B What You'll Need Locked
01 Project And Database Preview Locked
02 Create A Database Locked
03 Build Database Tables Locked
04 Insert Records Locked
05 Select Records Locked
06 Connect To A Database Locked
07 Build A Row From User Input Locked
08 Check If Entry Already Exists Locked
09 Introduction To SQL Joins Locked
10 Build SQL Joins Locked
+ 03 Creating Your First Movie Recommender System: A Comprehensive Guide to Building Basic Film Sugges 9 lectures
01 Introduction To Recommender Systems Locked
02 How To Evaluate Recommender Systems Locked
03 Content Based Recommendations Locked
04 Neighborhood Based Collaborative Filtering Locked
05 Project Preview Locked
06 Load Data As Pandas Dataframes Locked
07 Merge Movies And Ratings Dataframes Locked
08 Build A Correlation Matrix Locked
09 Test The Recommender Locked
+ 04 Introduction to Machine Learning 9 lectures
01 What Is Machine Learning Locked
02 Types Of Machine Learning Models Locked
03 What Is Supervised Learning Locked
04 What Is Unsupervised Learning Locked
05 How Does A Machine Learning Agent Learn Locked
06 What Is Inductive Learning Locked
07 Performance Of A Machine Learning Algorithm Locked
08 Handle Noise In Data Locked
09 Powerful Tools With Machine Learning Libraries Locked
+ 05 Mastering the Basics: Constructing a Movie Recommendation System using Machine Learning 12 lectures
01 Load Data Into Dataframes Locked
02 Project Preview Locked
03 Find A Recommendation Based On Different Movie Features Locked
04 Calculate Distance Between Users Locked
05 Find Similar Users With Euclidean Distance Locked
06 Define Similarity Between Users Locked
07 Find Top Similar Users Locked
08 Recommend A Movie With A K Nearest Neighbors Classifier Locked
09 What Is K Nearest Neighbours Locked
10 Recommend Movies To Sample User Locked
11 Create A Sample User For Testing Locked
12 Recommend A Movie Based On User Similarity Locked
+ 06 Machine Learning User Recommendations with Profiles and Items 14 lectures
01 Load Data For A Neural Network Locked
02 Process Data For Machine Learning Locked
03 Build Categories Locked
04 Regression Introduction Locked
05 What Is Regression Locked
06 Build A Ridge Regression Model Locked
07 Evaluate Model Error Locked
08 Visualize Top Features Affecting Rating Locked
09 Build A Lasso Regression Model Locked
10 Visualize Top Features From Lasso Regression Locked
11 Determine Which Model Is Best Locked
12 Load Data For Machine Learning Locked
13 Build A Singular Value Decomposition Algorithm Locked
14 Calculate Model Error Locked
+ 07 Build a Dense Neural Network to Recommend Movies 13 lectures
01 What Is Deep Learning Locked
02 What Is A Neural Network Locked
03 What Is Unsupervised Learning Locked
04 Build A Neural Network Locked
05 Train The Neural Network Locked
06 Project Preview Locked
07 Load Data Into Dataframes Locked
08 Explore Data In Our Dataset Locked
09 Build A Rating Pivot Table Locked
10 Calculate Average Rating Of A Movie Locked
11 Find Rating Averages For Every Movie In The Slice Locked
12 Find Ratings For A Movie In Every Slice Locked
13 Build An Average Ratings Column Locked
+ 08 Python Chatbot Bootcamp with Pandas, NumPy and SciKit (Natural Language Processing - Build 2 Chat 8 lectures
01 What Is Natural Language Processing Locked
02 Projects Preview Locked
03 What Is Text Vectorization Locked
04 Train A Vectorizer Locked
05 Chat With The User Locked
06 Define A Basic Intent Classifier Locked
07 Define A Basic Generative Model Locked
08 Test The Chatbot Locked
+ 09 PySpark - Build DataFrames with Python, Apache Spark and SQL 12 lectures
01 What Is Apache Spark Locked
02 Project Preview Locked
03 What Are Resilient Distributed Datasets Locked
04 What Is A Dataframe Locked
05 What You'll Need Locked
06 Start A Spark Session Locked
07 Load Data As A CSV Locked
08 Perform Basic Dataframe Operations Locked
09 Format Dataframe Table Locked
10 Perform Dataframe Math Operations Locked
11 Perform Dataframe Queries Locked
12 Build SQL Queries With Spark Locked
+ 10 Scrape the Web - Python and Beautiful Soup Bootcamp 10 lectures
01 What You'll Need Locked
02 What Is Web Scraping Locked
03 Build An HTML Webpage To Scrape Locked
04 Select Data Structures From A Webpage Locked
05 Extract Urls And Text Locked
06 Work With Tags Locked
07 Work With Attributes Locked
08 Add Navigation To A String Locked
09 Navigate Html Contents Locked
10 Find All Filter Locked
+ 11 Build Interactive Python Dashboards with Plotly and Dash 8 lectures
01 What Is Plotly And Dash Locked
02 Project Preview Locked
03 What You-ll Need Locked
04 Build A Dash App Locked
05 Build A Graph In The Dash App Locked
06 Load Data From Vega Datasets Locked
07 Build The Layout Locked
08 Build A Chart With Altair Locked
+ 12 Python Data Analysis Bootcamp with Pandas and NLTK - Natural Language Processing 6 lectures
01 Project Preview Locked
02 Convert CSV File To A Python List Locked
03 Tokenize Text Data Locked
04 Find Most Popular Lemmatized Words Locked
05 Build Dataframes Per Part Of Speech Locked
06 Plot Word Frequency Locked
+ 13 Beginner Data Science and Machine Learning Bootcamp (Sentiment Analysis with Unsupervised Classif 6 lectures
01 Project Preview Locked
02 Create A Dataset Locked
03 Vectorize Text Locked
04 Build A Word Cloud Locked
05 Reduce Data Dimensionality With Principal Component Analysis Locked
06 Perform Unsupervised Classification With K-Means Clusters Locked
+ 14 Data Mining with Python and NumPy - Build a Video Recommender System 5 lectures
01 Project Preview Locked
02 Build A Dataset Locked
03 Compute Support And Confidence - If A Person Watches X, They Will Watch Y Locked
04 Compute Support And Confidence For All Channels Locked
05 Determine Which Videos Are Best To Recommend Locked
Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

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