The dataset belongs to a leading life insurance company. The company wants to predict the bonus for its agents so that it may design appropriate engagement activities for their high-performing agents and upskill programs for low performing agents.

1. Model building and interpretation.

a. Build various models (You can choose to build models for either or all descriptive, predictive, or prescriptive purposes)

b. Test your predictive model against the test set using various appropriate performance metrics

c.Interpretation of the model(s)

2. Model Tuning

a.Ensemble modeling, wherever applicable

b. Any other model tuning measures(if applicable)

c. Interpretation of the most optimum model and its implication on the business

The dataset is available in the below link:

The drive link is anonymous, not a personal doc. There is no other way to share the dataset.

https://drive.google.com/file/d/1m0Zmr3eVVhvMzbSmrBxM9ZsyLgDX-th-/view?usp=sharing