Hands-On Supervised Machine Learning with Python: Master Regression, Classification, and Predictive Modeling Using Scikit-Learn

By Leo Turing

Unlock real-world machine learning mastery with the ultimate hands-on guide using Python and Scikit-Learn

Whether you're a beginner data scientist, aspiring ML engineer, or professional looking to build production-ready models, this book delivers practical, up-to-date skills you can apply immediately. No deep learning distractions-just focused, powerful supervised learning techniques that power most industry applications in 2026.

What you'll master:

End-to-end projects - from data prep to deployment (churn prediction, fraud detection, and more)Regression & classification fundamentals - linear/logistic models, decision trees, random forests, and advanced boosting (XGBoost, LightGBM, CatBoost)Modern Scikit-Learn pipelines, hyperparameter tuning, and model evaluationInterpretability & fairness - SHAP, LIME, bias detection, and ethical deploymentProduction-ready skills - Flask/FastAPI APIs, Streamlit dashboards, and basic MLOps

With clear code, real datasets, GitHub repo, and 2026-updated best practices, you'll confidently build, explain, and deploy supervised machine learning models that deliver results.

Start building intelligent systems today - grab your copy and level up your Python ML skills

• Format: Paperback
• Language: English
• ISBN: B0GPNJF219
• ISBN13: 9798249348861
• Release Date: February 2026
• Publisher: Independently Published
• Length: 306 Pages
• Weight: 0.91 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"