GitHub - Tech-no-mad/MLProj: Participated in the "CrimeCast: Forecasting Crime Categories" Kaggle competition, building ML models to predict crime categories. Approach involved data preprocessing, feature engineering, decision trees, and gradient boosting. Technologies: Python, scikit-learn, XGBoost, RandomForest, Pandas, NumPy.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
CrimeCastCategories.ipynb		CrimeCastCategories.ipynb

About

Participated in the "CrimeCast: Forecasting Crime Categories" Kaggle competition, building ML models to predict crime categories. Approach involved data preprocessing, feature engineering, decision trees, and gradient boosting. Technologies: Python, scikit-learn, XGBoost, RandomForest, Pandas, NumPy.