Recommender systems are one of the most popular and lucrative uses of machine learning, allowing businesses and organizations to give personalized suggestions to their customers.
In this liveProject, you’ll use common tools of the Python data ecosystem to design, build, and evaluate a movie recommendation model for the movie website. You’ll kick off your project by building simple genre charts, then work with existing movie rating data to implement personalized recommendations for each customer. When you’ve completed this hands-on and interesting project, you’ll have mastered a cornerstone technique of machine learning that’s in demand across companies and industries.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
Manning author Kim Falk shares what he likes about the Manning liveProject platform.
When you start your liveProject, you get full access to the following books for 90 days.
Kim Falk is an experienced data scientist who works daily with machine learning and recommender systems. Kim is the author of Practical Recommender Systems.
This liveProject is for intermediate Python programmers. To begin this liveProject, you will need to be familiar with:
Basics of NumPy and pandas
Basics of scikit-learn
Basics of Matplotlib
Basics of Jupyter Notebook
Basics of data science
Basics of machine learning
you will learn
In this liveProject, you’ll learn to put common Python data science libraries into action to build an in-demand machine learning model.
Data manipulation and analysis using pandas
Collaborative filtering with negative matrix factorization implemented using scikit-learn
Produce personalized recommendations using latent vectors created by factorization
Visualizing the data in the reports using Matplotlib and Seaborn
Evaluate and optimize algorithm hyperparameters
You choose the schedule and decide how much time to invest as you build your project.
Each project is divided into several achievable steps.
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.