HKUST x JP Morgan Fintech Mentorship Program: Income Regression and Classification Models
-
Two regression and two classification models that predict Income based on Experience and Age
-
Learning Objectives: conduct regression (linear & ridge regression) and classification analysis (logistic regression & decision tree)
- Specifications: regression analysis has detailed documentation, while classification analysis is just functions
-
Python Libraries: sklearn, pandas, seaborn, numpy
- Machine Learning Models: Linear Regression, Ridge Regression, Logisitic Regression, Decision Tree
-
Improvements: extensively tune hyperparameters of ridge regression, logistic regression, and decision tree to reduce overfitting, consider using polynomial regression modeling