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Data Science & Machine Learning Mastery

From Python Basics to Deep Learning, CNN, RNN, NLP & Transformers | Step-by-Step Guide for Beginners to Advanced AI Engineers

Language EnglishEnglish
Book Paperback
Book Data Science & Machine Learning Mastery Abhishek Kumar
Libristo code: 51618817
Publishers Independently published, April 2026
Unlock the power of Artificial Intelligence and Data Science with this complete step-by-step guide d... Full description
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Unlock the power of Artificial Intelligence and Data Science with this complete step-by-step guide designed for beginners, students, and aspiring AI engineers.

"Data Science & Machine Learning Mastery" takes you from the absolute basics of Python and Machine Learning to advanced Deep Learning architectures like CNN, RNN, LSTM, NLP, and Transformers-the same technologies powering ChatGPT and modern AI systems.

This book is structured in a practical, easy-to-understand way with real-world examples and Python implementations in every major topic.


What You Will Learn:

Fundamentals of Machine Learning
Supervised & Unsupervised Learning
Regression & Classification Techniques
Clustering Algorithms
Dimensionality Reduction (PCA)
Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN & LSTM)
Natural Language Processing (NLP)
Transformers & Attention Mechanism


Why This Book is Different:

Beginner-friendly explanations
Real Python code examples
Industry-relevant concepts
Step-by-step learning path
Covers modern AI (ChatGPT-level concepts)


Who This Book Is For:

Beginners in Data Science
College students
Software testers moving to AI
Python developers
Anyone wanting to enter AI/ML field


Outcome After Reading:

By the end of this book, you will be able to:

  • Understand how AI models work
  • Build machine learning models in Python
  • Work with deep learning systems
  • Understand ChatGPT-like architectures
  • Start your journey as an AI Engineer
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About the book

Full name Data Science & Machine Learning Mastery
Language English
Binding Book - Paperback
Date of issue 2026
Number of pages 218
EAN 9798254712428
Libristo code 51618817
Weight 412
Dimensions 152 x 229 x 14
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