Recommendation Systems in Python Course

In this ’Recommendation Systems in Python’ course, you’ll learn about key concepts such as content-based filtering, collaborative filtering, neighborhood models, matrix factorization, and more!

By the time you’ve finished the training, you’ll be able to build a movie recommendation system in Python by mastering both theory and practice.

Recommendation Engines perform a variety of tasks, but the most important one is to find products that are most relevant to the user.

Follow along with this intensive Recommendation Systems in Python training course to get a firm grasp on this essential Machine Learning component.

Modules:

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

How do I study?

You study online around your own schedule with our easy to use interactive student interface which is designed to make the learning experience as enjoyable as possible. Our content is delivered via a mixture of easy to follow video's, question and answer sections and interactive test prep. When in your account you will work from your own personalised learning platform, that will log and track your course progress.

Why choose us?

• Study job spefic industry recognised courses
• Student support
• Job finder service
• Progress reports
• 14 day no quibble money back guarantee

Career Support

Every student has access to our soft skills training pack that includes career support courses such as Interviewing Techniques and C.V building. These courses will give you the skills you need to head into the job market and boost your employability.

On completion of your training course, you will have the skills and confidence to jump straight into a role that suits you.

Our careers advisors have their ears to the ground and are on hand to offer you industry and job specific advice on any career path you decide to follow and ask about our job search service we offer to our students.

This course is ideal for anyone who is interested in Python, Machine Learning and more specifically, how to build a recommendation engine.

No requirements needed apart from an internet-connection to access the content!

- Data Scientist
- Developer
- Data Engineer
- Senior Data Scientist
- Analyst
- Architect
- Python Engineer
- Software Engineer

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