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Machine Learning Hero
Machine Learning Hero

Machine Learning Hero: Master Data Science with Python Essentials

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Profile Icon Cuantum Technologies LLC
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$44.99
eBook Jan 2025 614 pages 1st Edition
eBook
$44.99
Arrow left icon
Profile Icon Cuantum Technologies LLC
Arrow right icon
$44.99
eBook Jan 2025 614 pages 1st Edition
eBook
$44.99
eBook
$44.99

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Key benefits

  • Comprehensive coverage of machine learning fundamentals and advanced topics
  • Real-world projects to apply skills in practical scenarios
  • Integration of Python libraries for data science and AI development

Description

This book takes you on a journey through the world of machine learning, beginning with foundational concepts such as supervised and unsupervised learning, and progressing to advanced topics like feature engineering, hyperparameter tuning, and dimensionality reduction. Each chapter blends theory with practical exercises to ensure a deep understanding of the material. The book emphasizes Python, introducing essential libraries like NumPy, Pandas, Matplotlib, and Scikit-learn, along with deep learning frameworks like TensorFlow and PyTorch. You’ll learn to preprocess data, visualize insights, and build models capable of tackling complex datasets. Hands-on coding examples and exercises reinforce concepts and help bridge the gap between knowledge and application. In the final chapters, you'll work on real-world projects like predictive analytics, clustering, and regression. These projects are designed to provide a practical context for the techniques learned and equip you with actionable skills for data science and AI roles. By the end, you'll be prepared to apply machine learning principles to solve real-world challenges with confidence.

Who is this book for?

Aspiring data scientists, software developers, and tech enthusiasts seeking to master machine learning concepts and Python libraries. Basic Python knowledge is recommended but not required, as foundational topics are covered.

What you will learn

  • Build machine learning models using Python libraries
  • Apply feature engineering and preprocessing techniques
  • Visualize datasets with Matplotlib and Seaborn
  • Optimize machine learning models with hyperparameter tuning
  • Implement clustering and dimensionality reduction methods
  • Work on real-world projects for practical experience

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 16, 2025
Length: 614 pages
Edition : 1st
Language : English
ISBN-13 : 9781837025008
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Languages :
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What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
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Product Details

Publication date : Jan 16, 2025
Length: 614 pages
Edition : 1st
Language : English
ISBN-13 : 9781837025008
Category :
Languages :
Tools :

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Table of Contents

6 Chapters
Introduction to Machine Learning
Python and Essential Libraries for Data Science
Data Preprocessing and Feature Engineering
Supervised Learning Techniques
Unsupervised Learning Techniques
Practical Machine Learning Projects
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