End-to-end Machine Learning: Decision trees
In this course, we’ll build and use decision trees, a popular and versatile tool that will serve you well in your applied machine learning work.
The data science problem we want to solve is predicting transit times on a public transportation system. We will walk through the entire process from end to end:
Define the problem
Gather the data
Clean and prepare the data
Build a decision tree
Train the model
Wrap the model in some code that makes it easy to use
If you are a professor or a teacher at any level, you are welcome to evaluate the course for free, and I can set your students up with a deep educational discount. Just contact me for the coupon code (email@example.com).
I hope you enjoy the process of building a complete solution to a data science problem from the ground up.