Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering the AI Revolution)
Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering the AI Revolution)
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Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering the AI Revolution)
Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering the AI Revolution)
Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering the AI Revolution)
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Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering

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แฒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜แƒก แƒแƒฆแƒฌแƒ”แƒ แƒ˜แƒšแƒแƒ‘แƒ

Shop Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering the AI Revolution) online at a best price in Georgia. B0DJP9XDKR
  • This Book grants Free Access to our e-learning Platform, which includes:๐ŸŸฉ Free Repository Code with all code blocks used in this book๐ŸŸฉ Access to Free Chapters of all our library of programming published books๐ŸŸฉ Free premium customer support๐ŸŸฉ Much more...Become a Machine Learning Hero and Master Data Science with PythonIn a world driven by data, mastering machine learning is your key to unlocking new opportunities and solving complex problems. Whether you're a beginner or a professional looking to sharpen your skills, Machine Learning Hero: Master Data Science with Python Essentials is your guide to becoming proficient in machine learning and data science.This book provides a step-by-step journey into data science using Python, giving you the tools and knowledge to solve real-world problems confidently.What You Will LearnMaster Python for Data ScienceLearn how to use Python and essential data science libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn to manipulate, visualize, and analyze data efficiently.Prepare Data for Machine LearningExplore techniques for cleaning, transforming, and preparing raw data, including handling missing values, feature scaling, and encoding categorical variables to ensure your models are accurate and reliable.Build Classical Machine Learning ModelsUnderstand and implement popular machine learning algorithms such as:Linear and Polynomial Regression for predicting continuous outcomes.Classification algorithms like Support Vector Machines (SVMs), K-Nearest Neighbors (KNN), and Decision Trees to categorize data.K-Means Clustering for discovering patterns in data without labels.Master Feature EngineeringLearn the art of feature engineering, transforming raw data into features that improve model performance. Feature engineering is key to building effective machine learning models that produce meaningful results.Hands-On Projects to Solidify LearningPut theory into practice with hands-on projects designed to help you apply machine learning techniques in real-world scenarios:Predict Car Prices: Use linear regression to estimate car prices based on factors like mileage, year, and make.Customer Segmentation: Use K-Means clustering to group customers by behavior, helping businesses understand their clients better.Classification Models: Apply classification algorithms to predict survival on the Titanic, using precision, recall, and AUC-ROC metrics to evaluate performance.These projects reinforce the key concepts and ensure you gain the practical experience needed to tackle real-world data challenges.Who Is This Book For?Aspiring data scientists wanting to build a solid foundation in machine learning.Python developers looking to expand their skillset into data science.Professionals seeking to use machine learning to solve problems and make data-driven decisions.Whether you're just getting started or aiming to improve your machine learning skills, this book provides everything you need to become a machine learning hero.Start Your Journey NowWith Machine Learning Hero: Master Data Science with Python Essentials, you'll be equipped to handle real-world data challenges and unlock the potential of machine learning across any industry.Are you ready to transform your data into actionable insights and become a machine learning hero?
Publisher Staten House
Publication date 7 Oct. 2024
Language English
Print length 615 pages
ISBN-13 979-8895873533
Item weight 1.04 kg
Dimensions 19.05 x 3.53 x 23.5 cm
Book 1 of 3 Mastering the AI Revolution

แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜แƒก แƒแƒฆแƒฌแƒ”แƒ แƒ˜แƒšแƒแƒ‘แƒ

แƒ’แƒแƒฅแƒ•แƒ— แƒ แƒแƒ˜แƒ›แƒ” แƒจแƒ”แƒ™แƒ˜แƒ—แƒฎแƒ•แƒ? แƒ›แƒแƒ’แƒ•แƒ›แƒแƒ แƒ—แƒ”แƒ— แƒฉแƒแƒ—แƒจแƒ˜

แƒ›แƒแƒ›แƒฎแƒ›แƒแƒ แƒ”แƒ‘แƒ”แƒšแƒ—แƒ แƒ™แƒ˜แƒ—แƒฎแƒ•แƒ”แƒ‘แƒ˜ แƒ“แƒ แƒžแƒแƒกแƒฃแƒฎแƒ”แƒ‘แƒ˜

  • แƒ™แƒ˜แƒ—แƒฎแƒ•แƒ: แƒ แƒแƒ’แƒแƒ  แƒ•แƒ˜แƒงแƒ˜แƒ“แƒแƒ— Machine Learning Hero: Master Data Science with แƒแƒœแƒšแƒแƒ˜แƒœ Ubuy-แƒ“แƒแƒœ?

    แƒžแƒแƒกแƒฃแƒฎแƒ˜: แƒ›แƒแƒ แƒขแƒ˜แƒ•แƒ˜แƒ แƒงแƒ˜แƒ“แƒ•แƒ Machine Learning Hero: Master Data Science with แƒแƒœแƒšแƒแƒ˜แƒœ Ubuy-แƒ“แƒแƒœ.. แƒ—แƒฅแƒ•แƒ”แƒœ แƒฃแƒ‘แƒ แƒแƒšแƒแƒ“ แƒฃแƒœแƒ“แƒ แƒ›แƒแƒซแƒ”แƒ‘แƒœแƒแƒ— แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜, แƒแƒ˜แƒ แƒฉแƒ˜แƒแƒ— แƒ—แƒฅแƒ•แƒ”แƒœแƒ˜ แƒ›แƒ˜แƒฌแƒแƒ“แƒ”แƒ‘แƒ˜แƒก แƒ›แƒ”แƒ—แƒแƒ“แƒ˜ แƒจแƒ”แƒ›แƒแƒฌแƒ›แƒ”แƒ‘แƒ˜แƒก แƒ“แƒ แƒแƒก แƒ“แƒ แƒ›แƒ˜แƒ˜แƒขแƒแƒœแƒแƒ— แƒ˜แƒ’แƒ˜ แƒ—แƒฅแƒ•แƒ”แƒœแƒก แƒแƒ“แƒ’แƒ˜แƒšแƒแƒก.
  • แƒ™แƒ˜แƒ—แƒฎแƒ•แƒ: Machine Learning Hero: Master Data Science with แƒฎแƒ”แƒšแƒ›แƒ˜แƒกแƒแƒฌแƒ•แƒ“แƒแƒ›แƒ˜แƒ แƒแƒœแƒšแƒแƒ˜แƒœ แƒจแƒแƒžแƒ˜แƒœแƒ’แƒ˜แƒกแƒ—แƒ•แƒ˜แƒก Georgia-แƒจแƒ˜?

    แƒžแƒแƒกแƒฃแƒฎแƒ˜: แƒ“แƒ˜แƒแƒฎ, Ubuy Georgia-แƒจแƒ˜ แƒ”แƒก แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜ แƒ—แƒฅแƒ•แƒ”แƒœแƒ—แƒ•แƒ˜แƒก แƒฎแƒ”แƒšแƒ›แƒ˜แƒกแƒแƒฌแƒ•แƒ“แƒแƒ›แƒ˜แƒ แƒ’แƒแƒœแƒ˜แƒ•แƒ แƒฃแƒš แƒคแƒแƒกแƒแƒ“.. Machine Learning Hero: Master Data Science with แƒแƒ  แƒแƒ แƒ˜แƒก แƒฎแƒ”แƒšแƒ›แƒ˜แƒกแƒแƒฌแƒ•แƒ“แƒแƒ›แƒ˜ แƒแƒ“แƒ’แƒ˜แƒšแƒแƒ‘แƒ แƒ˜แƒ•แƒแƒ“, แƒ›แƒแƒ’แƒ แƒแƒ› แƒจแƒ”แƒ’แƒ˜แƒซแƒšแƒ˜แƒแƒ— แƒ’แƒ•แƒฏแƒ”แƒ แƒแƒ“แƒ”แƒก แƒฉแƒ•แƒ”แƒœแƒ˜ แƒ”แƒฅแƒกแƒžแƒ แƒ”แƒก แƒ›แƒ˜แƒฌแƒแƒ“แƒ”แƒ‘แƒ˜แƒก แƒกแƒ”แƒ แƒ•แƒ˜แƒกแƒ”แƒ‘แƒ˜.
  • แƒ™แƒ˜แƒ—แƒฎแƒ•แƒ: แƒ แƒแƒ›แƒ“แƒ”แƒœแƒ˜ แƒ“แƒ แƒ แƒกแƒญแƒ˜แƒ แƒ“แƒ”แƒ‘แƒ แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜แƒก แƒ›แƒ˜แƒฆแƒ”แƒ‘แƒแƒก แƒจแƒ”แƒ™แƒ•แƒ”แƒ—แƒ˜แƒก แƒ’แƒแƒคแƒแƒ แƒ›แƒ”แƒ‘แƒ˜แƒก แƒจแƒ”แƒ›แƒ“แƒ”แƒ’?

    แƒžแƒแƒกแƒฃแƒฎแƒ˜: แƒ—แƒฅแƒ•แƒ”แƒœแƒ˜ แƒจแƒ”แƒ™แƒ•แƒ”แƒ—แƒ˜แƒšแƒ˜ แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜แƒก แƒ›แƒ˜แƒฌแƒแƒ“แƒ”แƒ‘แƒ˜แƒก แƒ“แƒ แƒ แƒ’แƒแƒœแƒกแƒฎแƒ•แƒแƒ•แƒ“แƒ”แƒ‘แƒ แƒ—แƒฅแƒ•แƒ”แƒœ แƒ›แƒ˜แƒ”แƒ  แƒจแƒ”แƒ™แƒ•แƒ”แƒ—แƒ˜แƒšแƒ˜ แƒ“แƒ แƒ›แƒ˜แƒฌแƒแƒ“แƒ”แƒ‘แƒ˜แƒก แƒ›แƒ”แƒ—แƒแƒ“แƒ˜แƒก แƒ›แƒ˜แƒฎแƒ”แƒ“แƒ•แƒ˜แƒ—, แƒ แƒแƒ›แƒ”แƒšแƒ˜แƒช แƒแƒ แƒฉแƒ”แƒฃแƒšแƒ˜แƒ.. แƒ›แƒ˜แƒฌแƒแƒ“แƒ”แƒ‘แƒ˜แƒก แƒกแƒแƒ•แƒแƒ แƒแƒฃแƒ“แƒ แƒ“แƒ แƒ แƒ›แƒ˜แƒ—แƒ˜แƒ—แƒ”แƒ‘แƒฃแƒšแƒ˜แƒ แƒจแƒ”แƒ™แƒ•แƒ”แƒ—แƒ˜แƒก แƒžแƒ แƒแƒชแƒ”แƒกแƒจแƒ˜, แƒแƒกแƒ” แƒ แƒแƒ› แƒจแƒแƒžแƒ˜แƒœแƒ’แƒ˜แƒก แƒ“แƒ แƒแƒก แƒ˜แƒงแƒแƒ•แƒ˜แƒ— แƒฃแƒงแƒฃแƒ แƒแƒ“แƒฆแƒ”แƒ‘แƒ.

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Product Price History

แƒ›แƒœแƒ˜แƒจแƒ•แƒœแƒ”แƒšแƒแƒ•แƒแƒœแƒ˜ แƒ˜แƒœแƒคแƒแƒ แƒ›แƒแƒชแƒ˜แƒ

  • แƒจแƒ”แƒ–แƒฆแƒฃแƒ“แƒ•แƒ”แƒ‘แƒ˜: แƒ’แƒ—แƒฎแƒแƒ•แƒ—, แƒ’แƒแƒ˜แƒ—แƒ•แƒแƒšแƒ˜แƒกแƒฌแƒ˜แƒœแƒแƒ—, แƒ แƒแƒ› แƒกแƒแƒ–แƒฆแƒ•แƒแƒ แƒ’แƒแƒ แƒ”แƒ— แƒ’แƒแƒ’แƒ–แƒแƒ•แƒœแƒ˜แƒšแƒ˜ แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ”แƒ‘แƒ˜แƒกแƒ—แƒ•แƒ˜แƒก แƒ›แƒฌแƒแƒ แƒ›แƒแƒ”แƒ‘แƒšแƒ˜แƒก แƒ’แƒแƒ แƒแƒœแƒขแƒ˜แƒ แƒจแƒ”แƒ˜แƒซแƒšแƒ”แƒ‘แƒ แƒแƒ  แƒ˜แƒงแƒแƒก แƒ›แƒแƒฅแƒ›แƒ”แƒ“แƒ˜; แƒ›แƒฌแƒแƒ แƒ›แƒแƒ”แƒ‘แƒšแƒ˜แƒก แƒ›แƒแƒ›แƒกแƒแƒฎแƒฃแƒ แƒ”แƒ‘แƒ˜แƒก แƒžแƒแƒ แƒแƒ›แƒ”แƒขแƒ แƒ”แƒ‘แƒ˜ แƒจแƒ”แƒ˜แƒซแƒšแƒ”แƒ‘แƒ แƒแƒ  แƒ˜แƒงแƒแƒก แƒฎแƒ”แƒšแƒ›แƒ˜แƒกแƒแƒฌแƒ•แƒ“แƒแƒ›แƒ˜; แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜แƒก แƒ˜แƒœแƒกแƒขแƒ แƒฃแƒฅแƒชแƒ˜แƒ”แƒ‘แƒ˜ แƒ“แƒ แƒฃแƒกแƒแƒคแƒ แƒ—แƒฎแƒแƒ”แƒ‘แƒ˜แƒก แƒ’แƒแƒคแƒ แƒ—แƒฎแƒ˜แƒšแƒ”แƒ‘แƒ”แƒ‘แƒ˜ แƒจแƒ”แƒ˜แƒซแƒšแƒ”แƒ‘แƒ แƒแƒ  แƒ˜แƒงแƒแƒก แƒ“แƒแƒœแƒ˜แƒจแƒœแƒฃแƒšแƒ”แƒ‘แƒ˜แƒก แƒฅแƒ•แƒ”แƒงแƒœแƒ˜แƒก แƒ”แƒœแƒแƒ–แƒ”; แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ”แƒ‘แƒ˜ (แƒ“แƒ แƒ›แƒแƒกแƒ—แƒแƒœ แƒ“แƒแƒ™แƒแƒ•แƒจแƒ˜แƒ แƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ›แƒแƒกแƒแƒšแƒ”แƒ‘แƒ˜) แƒจแƒ”แƒ˜แƒซแƒšแƒ”แƒ‘แƒ แƒแƒ  แƒ˜แƒงแƒแƒก แƒจแƒ”แƒ›แƒฃแƒจแƒแƒ•แƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ“แƒแƒœแƒ˜แƒจแƒœแƒฃแƒšแƒ”แƒ‘แƒ˜แƒก แƒฅแƒ•แƒ”แƒงแƒœแƒ˜แƒก แƒกแƒขแƒแƒœแƒ“แƒแƒ แƒขแƒ”แƒ‘แƒ˜แƒก, แƒกแƒžแƒ”แƒชแƒ˜แƒคแƒ˜แƒ™แƒแƒชแƒ˜แƒ”แƒ‘แƒ˜แƒกแƒ แƒ“แƒ แƒ›แƒแƒ แƒ™แƒ˜แƒ แƒ”แƒ‘แƒ˜แƒก แƒ›แƒแƒ—แƒฎแƒแƒ•แƒœแƒ”แƒ‘แƒ˜แƒก แƒจแƒ”แƒกแƒแƒ‘แƒแƒ›แƒ˜แƒกแƒแƒ“; แƒ“แƒ แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ”แƒ‘แƒ˜ แƒจแƒ”แƒ˜แƒซแƒšแƒ”แƒ‘แƒ แƒแƒ  แƒจแƒ”แƒ”แƒกแƒแƒ‘แƒแƒ›แƒ”แƒ‘แƒแƒ“แƒ”แƒก แƒ“แƒแƒœแƒ˜แƒจแƒœแƒฃแƒšแƒ”แƒ‘แƒ˜แƒก แƒฅแƒ•แƒ”แƒงแƒœแƒ˜แƒก แƒซแƒแƒ‘แƒ•แƒ˜แƒกแƒ แƒ“แƒ แƒกแƒฎแƒ•แƒ แƒ”แƒšแƒ”แƒฅแƒขแƒ แƒ แƒกแƒขแƒแƒœแƒ“แƒแƒ แƒขแƒ”แƒ‘แƒก (แƒกแƒแƒญแƒ˜แƒ แƒแƒ”แƒ‘แƒ˜แƒก แƒจแƒ”แƒ›แƒ—แƒฎแƒ•แƒ”แƒ•แƒแƒจแƒ˜ แƒกแƒแƒญแƒ˜แƒ แƒแƒ แƒแƒ“แƒแƒžแƒขแƒ”แƒ แƒ˜ แƒแƒœ แƒ’แƒแƒ“แƒแƒ›แƒงแƒ•แƒแƒœแƒ˜). แƒ›แƒ˜แƒ›แƒฆแƒ”แƒ‘แƒ˜ แƒžแƒแƒกแƒฃแƒฎแƒ˜แƒกแƒ›แƒ’แƒ”แƒ‘แƒ”แƒšแƒ˜แƒ แƒฃแƒ–แƒ แƒฃแƒœแƒ•แƒ”แƒšแƒงแƒแƒก, แƒ แƒแƒ› แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜ แƒ™แƒแƒœแƒแƒœแƒ˜แƒ”แƒ แƒแƒ“ แƒจแƒ”แƒ›แƒแƒ˜แƒขแƒแƒœแƒแƒก แƒ“แƒแƒœแƒ˜แƒจแƒœแƒฃแƒšแƒ”แƒ‘แƒ˜แƒก แƒฅแƒ•แƒ”แƒงแƒแƒœแƒแƒจแƒ˜. Ubuy-แƒก แƒแƒœ แƒ›แƒ˜แƒกแƒ˜ แƒแƒคแƒ˜แƒšแƒ˜แƒ แƒ”แƒ‘แƒฃแƒšแƒ˜ แƒžแƒ˜แƒ แƒ”แƒ‘แƒ˜แƒก แƒ›แƒ”แƒจแƒ•แƒ”แƒแƒ‘แƒ˜แƒ— แƒจแƒ”แƒ™แƒ•แƒ”แƒ—แƒ˜แƒกแƒแƒก แƒ›แƒ˜แƒ›แƒฆแƒ”แƒ‘แƒ˜ แƒแƒ แƒ˜แƒก แƒ แƒ”แƒ’แƒ˜แƒกแƒขแƒ แƒ˜แƒ แƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ˜แƒ›แƒžแƒแƒ แƒขแƒ˜แƒแƒ แƒ˜ แƒ“แƒ แƒ›แƒแƒœ แƒฃแƒœแƒ“แƒ แƒ’แƒแƒ˜แƒ—แƒ•แƒแƒšแƒ˜แƒกแƒฌแƒ˜แƒœแƒแƒก แƒ“แƒแƒœแƒ˜แƒจแƒœแƒฃแƒšแƒ”แƒ‘แƒ˜แƒก แƒฅแƒ•แƒ”แƒงแƒœแƒ˜แƒก แƒงแƒ•แƒ”แƒšแƒ แƒ™แƒแƒœแƒแƒœแƒ˜ แƒ“แƒ แƒ“แƒ”แƒ‘แƒฃแƒšแƒ”แƒ‘แƒ.
  • Ubuy-แƒ–แƒ” แƒฉแƒแƒ›แƒแƒ—แƒ•แƒšแƒ˜แƒšแƒ˜ แƒงแƒ•แƒ”แƒšแƒ แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ˜ แƒแƒ  แƒแƒ แƒ˜แƒก แƒ’แƒแƒงแƒ˜แƒ“แƒ•แƒแƒจแƒ˜, แƒ แƒแƒ“แƒ’แƒแƒœ Ubuy แƒแƒ แƒ˜แƒก แƒ’แƒšแƒแƒ‘แƒแƒšแƒฃแƒ แƒ˜ แƒกแƒแƒซแƒ˜แƒ”แƒ‘แƒ แƒกแƒ˜แƒกแƒขแƒ”แƒ›แƒ แƒ“แƒ แƒžแƒ แƒแƒ“แƒฃแƒฅแƒขแƒ”แƒ‘แƒ˜ แƒ”แƒฅแƒ•แƒ”แƒ›แƒ“แƒ”แƒ‘แƒแƒ แƒ”แƒ‘แƒ แƒกแƒแƒ”แƒฅแƒกแƒžแƒแƒ แƒขแƒ/แƒกแƒแƒ•แƒแƒญแƒ แƒ แƒ แƒ”แƒ’แƒฃแƒšแƒแƒชแƒ˜แƒ”แƒ‘แƒก.

GEL 223

แƒจแƒ”แƒฃแƒ™แƒ•แƒ”แƒ—แƒ”แƒ— แƒแƒฎแƒšแƒแƒ•แƒ” แƒ“แƒ แƒ›แƒ˜แƒ˜แƒฆแƒ”แƒ— แƒฎแƒฃแƒ—แƒจแƒแƒ‘แƒแƒ—แƒ˜, แƒแƒฅแƒขแƒแƒ›แƒ‘แƒ”แƒ แƒ˜ 15

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