I will build and evaluate a machine learning classification model

Need to predict customer churn, fraud, conversion, default, or another categorical outcome from your data? I can build and evaluate a machine learning classification model using Python and industry-standard ML libraries.

I will build a reproducible machine learning classification pipeline using Python.

Depending on your project, I can work with Logistic Regression, Random Forest, Gradient Boosting and XGBoost.

The analysis may include data preprocessing, class imbalance handling, hyperparameter tuning, classification threshold optimization and model evaluation using appropriate metrics such as precision, recall, F1-score, ROC AUC and PR AUC.

I can also provide feature importance or SHAP explanations to help understand model predictions.

You will receive clean Python code/notebook, evaluation results and clear visualizations