For applying ML models to predict the bioactivity of compounds, datasets from the publicly accessible ChEMBL database were used. This database includes a wide variety of information on over 2.4 ...

Abstract: Accurate electricity consumption forecasting is essential for effective power management, especially in the presence of unpredictable events that disrupt typical consumption patterns. Using ...

Built an end-to-end Customer Churn Prediction System using ML, achieving 80%+ accuracy with XGBoost. Project includes complete data cleaning, feature engineering, model comparison, & performance ...

POI/ ├── notebooks/ # Jupyter notebooks for experiments │ ├── kaggle_gbs_proven_features.ipynb # [NEW] GBS with proven features │ ├── kaggle_xgboost_progressive_training.ipynb # XGBoost experiments │ ...