This project builds an XGBoost Regressor to predict healthcare costs, ensuring insurance profitability. We'll compare it...

Accurate loan eligibility prediction with machine learning, applying SMOTE, data processing, and Random Forest for fair...

Learn retail sales prediction with machine learning. This project builds regression models to analyze sales trends and d...

Build and evaluate regression models (Linear, Lasso, Ridge) to predict laptop prices with effective data preprocessing a...

Predict customer churn with Decision Trees! Learn data cleaning, SMOTE, and model evaluation using Python. Compare Decis...

Preprocess data, engineer features, and apply models like Random Forest or XGBoost. Evaluate performance and use LIME/SH...

Develop a hybrid recommendation system using collaborative and content-based filtering with LightFM for personalized pro...

Understand time series forecasting with Linear Regression, ARIMA, and anomaly detection. Learn feature engineering, tren...

Clean and analyze IoT sensor data by building and evaluating MA and AR models, using RMSE and visualizations to determin...

Build and assess time series forecasting models such as ARIMA, ARIMAX, and SARIMAX using real-world data from sectors li...

Create a book recommendation system with machine learning using TF-IDF, KMeans clustering, and cosine similarity for acc...

This project forecasts stock market volatility using ARCH and GARCH models, helping traders and investors predict market...

Forecast healthcare call volumes using Prophet with enhanced features from Cesium. Improve accuracy with statistical fea...

Learn how to create a personalized movie recommendation system using SVD, LightFM, collaborative filtering, and weighted...