From Python Basics to Deep Learning, CNN, RNN, NLP & Transformers Step-by-Step Guide for Beginners to Advanced AI Engineers
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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.
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
Beginner-friendly explanations
Real Python code examples
Industry-relevant concepts
Step-by-step learning path
Covers modern AI (ChatGPT-level concepts)
Beginners in Data Science
College students
Software testers moving to AI
Python developers
Anyone wanting to enter AI/ML field
By the end of this book, you will be able to:
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