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A production-oriented Machine Learning pipeline that predicts whether an active user session will result in a purchase.

Model: XGBoost Classifier optimized for class imbalance.

Performance: ROC AUC 0.936 | F1-score 0.71 (at 0.30 threshold).

Key Features: Reproducible environment (uv), modular CLI for training/inference, leakage-free preprocessing, and SHAP interpretability analysis.

Data: UCI Online Shoppers Purchasing Intention Dataset.

Tech Stack: Python, XGBoost, Scikit-learn, Pandas, SHAP.

Comparison of various anomaly detection algorithms using scikit-learn and visualization through Plotly Dash

Comparison of various anomaly detection algorithms using scikit-learn and visualization through Plotly Dash

scikit-learn: machine learning in Python

A comprehensive Machine Learning project Task-5 : For sales prediction using Linear Regression. This project analyzes advertising spending (TV, Radio, Newspaper) and predicts product sales using scikit-learn. Includes data visualization, model evaluation, and real-world predictions.

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/44192

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/44191

OpenML dataset: Test-Diabetes(scikit-learn) https://www.openml.org/d/44187

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/44223

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/44194

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/43959

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/41514

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/43943

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/43123

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/41519

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/41516

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/41515

OpenML dataset: Diabetes(scikit-learn) https://www.openml.org/d/41518