Machine learning : recommendation systems in python online course

Course Outline

Chapter 01: Would You Recommend to a Friend?

• Lesson 01: Introduction: You, This Course & Us!
• Lesson 02: What do Amazon and Netflix have in common?
• Lesson 03: Recommendation Engines: a look inside
• Lesson 04: What are you made of? Content-Based Filtering
• Lesson 05: With a little help from friends: Collaborative Filtering
• Lesson 06: A Model for Collaborative Filtering
• Lesson 07: Top Picks for You! Recommendations with Neighborhood Models
• Lesson 08: Discover the Underlying Truth: Latent Factor Collaborative Filtering
• Lesson 09: Latent Factor Collaborative Filtering continued
• Lesson 10: Gray Sheep & Shillings: Challenges with Collaborative Filtering
• Lesson 11: The Apriori Algorithm for Association Rules

Chapter 02: Recommendation Systems in Python

• Lesson 01: Installing Python : Anaconda & PIP
• Lesson 02: Back to Basics: Numpy in Python
• Lesson 03: Back to Basics: Numpy & Scipy in Python
• Lesson 04: Movielens & Pandas
• Lesson 05: Code Along: What’s my favorite movie? – Data Analysis with Pandas
• Lesson 06: Code Along: Movie Recommendation with Nearest Neighbor CF
• Lesson 07: Code Along: Top Movie Picks (Nearest Neighbor CF)
• Lesson 08: Code Along: Movie Recommendations with Matrix Factorization
• Lesson 09: Code Along: Association Rules with the Apriori Algorithm

PACKAGE INCLUDES:

Length of Subscription: 12 Months Online On-Demand Access
Running Time: 4 hrs 30 min
Platform: Windows & MAC OS
Level: Beginner to Advanced
Project Files: Included

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