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
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