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Hands-On Supervised Machine Learning with Python|Leo Turing

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

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Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9798249348861
  • ISBN-10: 9798249348861
  • Publisher: Independently Published
  • Publish Date: February 2026
  • Dimensions: 9 x 6 x 0.64 inches
  • Shipping Weight: 0.91 pounds
  • Page Count: 306

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