Python, AI & Machine Learning Mastery: From Fundamentals to Projects and Placements

About The Book

Python, AI & Machine Learning Mastery: From Fundamentals to Projects and Placements** is a comprehensive and practical guide designed for students, aspiring developers, and technology enthusiasts who wish to build a strong foundation in Python programming and explore the transformative world of Artificial Intelligence and Machine Learning. The book follows a structured learning approach, beginning with fundamental programming concepts and gradually advancing to data analysis, machine learning techniques, real-world projects, and career preparation.

Readers will gain hands-on experience with Python fundamentals, including data types, control structures, functions, object-oriented programming, exception handling, and file operations. The book further introduces powerful libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization. It provides a clear understanding of key Machine Learning concepts, algorithms, model evaluation techniques, and modern AI tools used in industry.

To strengthen practical skills, the book includes project-based learning through real-world applications, enabling readers to apply theoretical knowledge to solve meaningful problems. Dedicated chapters on interview preparation, coding practices, resume building, portfolio development, and placement readiness help bridge the gap between academic learning and professional success.

Written in a simple, student-friendly, and application-oriented manner, this book serves as a valuable resource for BCA, MCA, Engineering, Computer Science, Data Science, and AI learners. Whether the goal is academic excellence, skill development, project implementation, or career advancement, this book provides a complete roadmap for mastering Python, understanding Artificial Intelligence, and preparing for opportunities in today's rapidly evolving technology-driven world.

About The Author

Mr. Mahesh R. Sananse is an educator, researcher, and technology enthusiast with a strong passion for teaching, learning, and empowering students through practical knowledge. He holds a Master's degree in Computer Applications (MCA in Engineering) and serves as an Assistant Professor, where he actively contributes to academic development, student mentoring, and skill-based education.

His areas of interest include Python Programming, Artificial Intelligence, Machine Learning, Data Science, and emerging technologies. Throughout his academic and professional journey, he has focused on bridging the gap between theoretical concepts and real-world applications, helping students develop industry-relevant skills and confidence in technology.

Dr. (Ms.) Maithili Vijay Arjunwadkar is a distinguished academician and IT professional with over 26 years of combined experience, including 23 years in academia and 3.3 years in the IT industry. She holds a Ph.D. in Computer Studies from Symbiosis International University, specializing in biometric security. As an approved Ph.D. Guide at Savitribai Phule Pune University, she has successfully supervised four doctoral scholars and is currently guiding two more in cutting-edge areas such as Blockchain, Data Analytics, Metamorphic Cryptography, Internet of Behavior (IoB), Steganography, and Digital Watermarking. As Director at PES Modern Institute of Business Studies, Pune, she significantly contributed to the institute’s autonomy process and strategic planning. Her academic accomplishments include a published book, a Scopus-indexed book chapter, two patents published in 2024 (related to Blockchain and Big Data Analytics), and a registered copyright.

Dr. Netraja Chetan Mulay is an accomplished academician, researcher, and educator with over 18 years of teaching experience in the field of Computer Applications. Currently serving as an Assistant Professor at Modern College of Engineering, Dr. Netraja has been actively involved in imparting quality education and mentoring students in various domains of computer science and emerging technologies.

Throughout her distinguished academic career, she has taught a wide range of subjects, including Python Programming, Data Science, Database Management Systems, Software Engineering, and related computing disciplines. Her teaching philosophy emphasizes conceptual clarity, practical application, and industry-relevant skills, enabling students to develop a strong technical foundation and problem-solving mindset.

Dr. Netraja is also a dedicated researcher with more than 25 research publications in reputed national and international journals. Her scholarly contributions reflect her commitment to advancing knowledge and fostering innovation in the field of computer applications and data-driven technologies. She has actively participated in academic and research activities, contributing to the growth of technical education and professional development.