I offer complete machine learning solutions – starting from raw data to trained models. I clean and preprocess the data, handle missing values and outliers, and perform feature engineering to extract meaningful patterns. Then I build, train, and evaluate machine learning models using Scikit-learn or XGBoost to solve regression, classification, or clustering problems. You’ll receive a clean pipeline and accurate results ready for business use or deployment or prediction
Skills: Python, Pandas, NumPy, Scikit-learn, XGBoost, Feature Engineering, Data Cleaning, Data Preprocessing, Model Training, Evaluation