Machine learning models, predictive analytics, and statistical modeling
← Back to All ProjectsMachine learning model predicting customer churn with 89% accuracy using Random Forest and XGBoost. Deployed as interactive Streamlit app.
Deep learning model for sentiment classification of product reviews using LSTM networks. Achieved 92% accuracy on test data.
Stock price prediction using ARIMA and LSTM models. Comparative analysis of statistical vs deep learning approaches.
Check out my complete repository on GitHub or read my blog on Medium