Udemy End-to-end Machine Learning: Decision trees Udemy
Price: AED 184
  • Duration: Flexible

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.

Updated on 14 November, 2018
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