Machine Learning Projects

Welcome to my Machine Learning Projects repository!
This repository contains end-to-end ML projects, including data preprocessing, model building, hyperparameter tuning, evaluation, and deployment. All projects are implemented in Python using popular libraries like scikit-learn, pandas, numpy, and deployed with Streamlit for interactive applications.

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Projects Overview

Classification Projects

1. Bank Churn Prediction

   Predict whether a bank customer will churn using historical customer data.

   • Models: Logistic Regression, Decision Tree, Random Forest, Gradient Boost, XGBoost
   • Deployment: Streamlit
   • Project Link

2. Rainfall Prediction

   Predict the chances of rainfall using meteorological features such as temperature, pressure, humidity, wind speed and cloud cover

   • Models: Gradient Boost, Logistic Regression, XGBoost, Random Forest, AdaBoost, KNN, Decision Tree
   • Deployment: Streamlit
   • Project Link

Regression Projects

1. Medical Premium Price Prediction

   Predict insurance premium costs based on demographic and medical history.

   • Models: Linear Regression, Decision Tree, Random Forest
   • Deployment: Streamlit
   • Project Link

2. Used Car Price Prediction

   Predict the selling price of used cars using features such as brand, manufacturing year, kilometers driven, fuel type, transmission, and ownership details.

   • Models: Linear Regression, Lasso Regression, Ridge Regression, LassoCV Regression, RidgeCV Regression, ElasticNet Regression, ElasticNetCV Regression, KNN Regression, Decision Tree Regression, Random Forest Regression, AdaBoost Regression, Gradient Boost Regression, XGB Regression
   • Deployemnt: Streamlit
   • Project Link

Technologies & Libraries Used

• Programming Language: Python 3.x
• Libraries:
  • pandas – data manipulation
  • numpy – numerical computations
  • scikit-learn – modeling, preprocessing, evaluation
  • xgboost – boosted tree models
  • matplotlib, seaborn – data visualization
  • pickle - Model Saving
  • streamlit – web app deployment