Learn AI with Python - 2nd Edition

AI has become the driving force behind innovation in almost every field — from healthcare and education to business and communication. In today’s fast-changing world, learning AI is no longer optional; it is a necessity for anyone who wants to stay ahead in the digital age. Python, with its simplicity and vast library support, makes this journey both enjoyable and practical.

This new edition takes you step by step into the world of AI, ML, and deep learning. You will learn how to preprocess and visualize data, perform feature engineering, and implement ML algorithms from scratch. The book further guides you through natural language processing with NLTK, building chatbots, developing image classifiers with CNNs, and improving model performance through fine-tuning and optimization.

By the end of this book, you will be confident in handling data, building intelligent systems, and deploying real-world AI applications using Python. Whether you are a student, a working professional, or a tech enthusiast, this book will equip you with the right skills and practical knowledge to begin your journey as an AI practitioner.

WHAT YOU WILL LEARN
● Preprocess and visualize data for effective ML models.
● Implement ML algorithms from scratch using Python.
● Engineer features to enhance model accuracy and performance.
● Build intelligent chatbots and conversational AI applications with Python.
● Develop image classifiers using CNNs.
● Optimize and fine-tune ML models for real-world use.
● Apply natural language processing effectively using NLTK library.
● Create smart, data-driven solutions using AI techniques.

WHO THIS BOOK IS FOR
This book is ideal for students, working professionals, and tech enthusiasts who want to build practical skills in AI. It is especially useful for software developers, data analysts, engineers, and researchers looking to create intelligent applications, chatbots, and predictive models using Python.

1. Introduction to AI and Python
2. Machine Learning Basics
3. Preprocessing and Visualizing Data
4. Data Feature Engineering
5. Implementing ML Algorithms
6. Classification and Regression Using Supervised Learning
7. Clustering Using Unsupervised Learning
8. Solving Problems with Logic Programming
9. Natural Language Processing with Python
10. Implementing Speech Recognition with Python
11. Implementing Artificial Neural Network with Python
12. Implementing Reinforcement Learning with Python
13. Implementing Deep Learning and Convolutional Neural Network
14. Building Chatbots
15. Improving Performance of ML Model

Gaurav Leekha is a deep learning researcher and an experienced educator with over 7 years of academic teaching in technical courses, and more than 9 years of professional experience in creating high-quality technical content. He specializes in machine learning, deep learning, artificial intelligence, and Python-based technologies, and has guided numerous students and professionals in building practical AI solutions.

Gaurav has authored multiple research papers published in reputed journals and serves as a reviewer for prominent international journals. He has also been a technical reviewer for various online courses and holds several certifications in ML, deep learning, and AI.

In this book, he shares his knowledge and insights to help you embark on your journey of mastering Python and developing intelligent AI systems. Outside of his professional life, Gaurav enjoys cooking for his family, playing with his twelve-year-old son, and practicing Vipassana meditation, which helps him maintain focus and creativity in his work.