Introduction to Machine Learning with Python: A Hands-On Guide to Implementing Machine Learning Algorithms

Unlock the Power of Machine Learning-With Real Python CodeWant to understand how machines learn from data-and how to build your own intelligent systems?Introduction to Machine Learning with Python is your practical, beginner-friendly path to mastering machine learning concepts and bringing them to life using Python.Designed for programmers, data analysts, and aspiring ML engineers, this hands-on guide demystifies core techniques and walks you through implementing them step by step-no advanced math required.What You'll Learn: Machine learning fundamentals explained in plain EnglishHow to prepare, clean, and split data for training and testingSupervised learning: linear regression, decision trees, k-NN, SVMUnsupervised learning: clustering, dimensionality reductionIntroduction to neural networks and deep learningHow to evaluate model performance with accuracy, precision, recallReal-world projects using scikit-learn, NumPy, pandas, and matplotlibPractical tips for tuning models and avoiding overfittingA workflow you can follow to build your own ML systemsPacked with examples, visuals, and coding exercises, this guide gives you the skills to apply machine learning in real projects-from recommendations to predictions.If you're ready to build intelligent systems with Python, this is the book to start with.

Author:

Rafael Sanders

Publisher:

Independently Published

Publication Date:

Jun 06, 2025

Number of pages:

00162 pages

Binding:

Paperback or Softback

ISBN-10:

NA

ISBN-13:

9798286718528