End-to-end Machine Learning: Decision trees

Course details

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:

1. Define the problem

2. Gather the data

3. Clean and prepare the data

4. Build a decision tree

5. Train the model

6. Generate predictions

7. 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 Ican set your students up with a deep educational discount. Just contact me for the coupon code (brohrer@gmail.com).

I hope you enjoy the process of building a complete solution to a data science problem from the ground up.