MISSION 213

Guided Project: Predicting Bike Rentals

Apply decision trees and random forests to predict the number of boke rentals.

Objectives

  • Learn to create new features.
  • Learn to apply different machine learning models.

Mission Outline

1. Introduction to the Data Set
2. Calculating Features
3. Splitting the Data Into Train and Test Sets
4. Applying Linear Regression
5. Applying Decision Trees
6. Applying Random Forests
7. Next Steps

decision-trees

Course Info:

Decision Trees

Intermediate

The median completion time for this course is 6.4 hours.

This course requires a premium subscription. This course has four missions and one guided project.  It is the 22nd course in the Data Scientist in Python path.

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