Achieving 98/100 points
Task 1: Building a predictive model on American house prices
- Linear Regression
- 2-degree polynomial regression model
- Cross-validation using ridge regression and lasso regression
Task 2: Cancer Prediction (Unbalanced dataset)
- Logistic regression with adjusted class weights
Task 3: Evaluating the effectiveness of telemarketing campaigns
- Building a ML pipeline to preprocess data
- Logistic regression with hyperparameter tuning and feature selection
- Precision-Recall curve
- Random forest model