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Book synopsis

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 evaluation
• Interpretability & fairness - SHAP, LIME, bias detection, and ethical deployment
• Production-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!

Book details

• Full title: Hands-On Supervised Machine Learning with Python
• Subtitle: Master Regression, Classification, and Predictive Modeling Using Scikit-Learn
• Author: Leo Turing
• Language: English
• Binding: Paperback
• Number of pages: 306
• EAN: 9798249348861
• ID: 51319993
• Publisher: Independently published
• Weight: 413 g
• Dimensions: 229 × 152 × 16 mm
• Date of publishing: 22. February 2026

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