sprint8_model2

[JacquelineGomez06]

CDA Plan Example

The following describes an example CDA workflow for 4 methods of predicting salaries based on job-training requirements.

• Remove outliers for salaries, log-normalize bootcamp duration, and utilize a linear regressor with backward selection
• Remove outliers for salaries, log-normalize bootcamp duration, and utilize the LASSO for automatic selection
• Remove outliers for salaries, keep bootcamp duration, and utilize the LASSO for automatic selection
• Remove outliers for salaries, keep bootcamp duration, and utilize a RandomForestRegressor with optimal max-depth

By observing all selected features for these 4 models, we could potentially observe that bootcamp features predict for higher bootcamp salaries.

[JacquelineGomez06]

Random Forest model complete