What you get:
10 ideas for machine learning projects.
Free datasets to use for your projects.
Examples of libraries and algorithms for each case.
I had a chat with Seth Juarez about Recommenders.
Recommenders is the top open-source repository in recommendation systems, containing more than 30 algorithms and examples to help people learn and build recommendations systems.
We first discuss recommendation systems' impact on improving user experience and increasing revenue.
Then we go through the main components of the repository: the test infrastructure, the Python library, and the examples.
Finally, we discuss strategies if you want to start a recommendation system project.