menu
{ "item_title" : "Data Science Essentials", "item_author" : [" Nandini K "], "item_description" : "**Data Science Essentials: A Practical Guide** is a comprehensive resource designed for beginners and professionals seeking to build a strong foundation in data science. Covering key concepts such as data preprocessing, exploratory data analysis, machine learning, and model evaluation, the book provides step-by-step explanations with real-world examples. It emphasizes practical applications using Python and popular libraries like Pandas, NumPy, and Scikit-Learn. With a focus on hands-on learning, this guide helps readers develop the skills needed to analyze data effectively and make data-driven decisions. Whether you're a student, researcher, or industry professional, this book serves as a valuable reference for mastering data science fundamentals.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/63/985/958/3639859588_b.jpg", "price_data" : { "retail_price" : "76.44", "online_price" : "76.44", "our_price" : "76.44", "club_price" : "76.44", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Science Essentials|Nandini K

Data Science Essentials : A Practical Guide

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

Overview

**Data Science Essentials: A Practical Guide** is a comprehensive resource designed for beginners and professionals seeking to build a strong foundation in data science. Covering key concepts such as data preprocessing, exploratory data analysis, machine learning, and model evaluation, the book provides step-by-step explanations with real-world examples. It emphasizes practical applications using Python and popular libraries like Pandas, NumPy, and Scikit-Learn. With a focus on hands-on learning, this guide helps readers develop the skills needed to analyze data effectively and make data-driven decisions. Whether you're a student, researcher, or industry professional, this book serves as a valuable reference for mastering data science fundamentals.

This item is Non-Returnable

Details

  • ISBN-13: 9783639859584
  • ISBN-10: 3639859588
  • Publisher: Scholars' Press
  • Publish Date: March 2025
  • Dimensions: 9 x 6 x 0.29 inches
  • Shipping Weight: 0.39 pounds
  • Page Count: 124

Related Categories

You May Also Like...

    1

BAM Customer Reviews