menu
{ "item_title" : "Introduction to Machine Learning with Python", "item_author" : [" Mr Manish Soni "], "item_description" : "Introduction to Machine Learning with Python is a practical guide designed for students, educators, and aspiring data scientists who want to build a strong foundation in machine learning using Python. This book presents complex concepts in a simplified manner, making it accessible even for beginners with basic programming knowledge. Covering essential topics such as data preprocessing, supervised and unsupervised learning, model evaluation, and real-world project applications, the book uses clear explanations and hands-on coding examples with libraries like scikit-learn and pandas. Each chapter builds logically upon the last, helping readers not only understand theory but also apply it through practical experiments. With a strong focus on conceptual clarity and Python-based implementation, this book serves as a bridge between academic learning and real-world machine learning applications. Whether you're a student, instructor, or self-learner, this book will help you confidently step into the world of machine learning with Python.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/889/826/9798898261184_b.jpg", "price_data" : { "retail_price" : "25.00", "online_price" : "25.00", "our_price" : "25.00", "club_price" : "25.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Introduction to Machine Learning with Python|Mr Manish Soni

Introduction to Machine Learning with Python : First Step Toward AI/ML Using Python

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Other Available Formats

Paperback
25.00
Hardcover
$45.00

show all formats

Overview

"Introduction to Machine Learning with Python" is a practical guide designed for students, educators, and aspiring data scientists who want to build a strong foundation in machine learning using Python. This book presents complex concepts in a simplified manner, making it accessible even for beginners with basic programming knowledge. Covering essential topics such as data preprocessing, supervised and unsupervised learning, model evaluation, and real-world project applications, the book uses clear explanations and hands-on coding examples with libraries like scikit-learn and pandas. Each chapter builds logically upon the last, helping readers not only understand theory but also apply it through practical experiments. With a strong focus on conceptual clarity and Python-based implementation, this book serves as a bridge between academic learning and real-world machine learning applications. Whether you're a student, instructor, or self-learner, this book will help you confidently step into the world of machine learning with Python.

This item is Non-Returnable

Details

  • ISBN-13: 9798898261184
  • ISBN-10: 9798898261184
  • Publisher: Notion Press
  • Publish Date: June 2025
  • Dimensions: 8.5 x 5.5 x 0.42 inches
  • Shipping Weight: 0.48 pounds
  • Page Count: 182

Related Categories

You May Also Like...

    1

BAM Customer Reviews