Recap 11/20/2019: Special Topic: Random Forest Using Python

For this week’s special topic, we demonstrated how to build a random forest model with real-world income data using Python and an example of how to predict a person’s income range with given information.

Covered in Special Topic:

  • Explanatory analysis in Python
  • Lambda function in Python
  • Python DataFrame
  • One-Hot Encoding vs Label Encoding
  • Training and Testing
  • Model Training
  • Model Prediction
  • Case Study of predicting one individual’s income range
  • Confusion Matrix
  • Differences of accuracy, precision, and recall

Special Topic Notebook

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