My Books

It offers a comprehensive guide that takes readers from the basics of machine learning to advanced generative AI techniques, making it ideal for learners at all levels. The book covers foundational machine learning concepts, key algorithms, and deep learning models like CNNs, RNNs, and GANs, along with training and optimization techniques. It explores generative AI, focusing on models such as GANs, VAEs, and transformers, with applications like 

This is a comprehensive guide designed to help individuals prepare for data science and engineering interviews. It covers essential topics such as statistics, machine learning, algorithms, and data structures, while providing real-world interview questions and solutions. The book offers practical tips on problem-solving, coding challenges, and effective communication, along with guidance on behavioral interviews. It is a valuable resource for anyone 

This handbook offers a comprehensive yet accessible overview of Python 3.x, making it an indispensable resource for both beginners and seasoned developers. It covers fundamental concepts, core language features, and practical examples, serving as a trusted reference for everyday coding and problem-solving. With clear explanations, concise code snippets, and expert tips, this guide provides a solid foundation in Python, emphasizing best practices and common pitfalls.