scki

An end-to-end Machine Learning application that predicts insurance premium categories based on customer demographics, lifestyle factors, health indicators, and financial information.

Predicts the resale price of a used car (in ₹ Lakhs) using Linear and Lasso Regression. Features a full sklearn preprocessing pipeline (OrdinalEncoder + MinMaxScaler via ColumnTransformer), residual analysis plots, and a dark-themed Tkinter desktop GUI for live predictions.

Reducing overfitting in perdiction in decision trees

Customer Churn Prediction using ML | Classification | Random Forest | Python