Mastering Machine Learning A Hands on with Python: Practical Techniques,Real World Projects,and Expert Guidance for Building Inteligent Syatems

Book Name :Mastering Machine Learning A Hands on with Python Dr G. Shanmugarathinam is a professor in the School of Computer Science and Engineering at Presidency University, Bengaluru, India. Before that, he was working as the faculty in the department of Information Technology at Ibri College of Technology, Sultanate of Oman, for the past 11 years. He has a total of 25 years of teaching experience, and his research and teaching interests include cyber security, network security, AI and ML, blockchain and cloud computing. He completed the Cisco Certified Network Associate (CCNA), the Cisco Certified Network Associate (CCNA) Security certificate, and the CCNP Routeing certificate. He has won the best teacher award thrice (Oman) and four times (India). Mr. Tanmoy Kundu, M.Tech, B.Tech, B.Ed, D.El.Ed., is an Assistant Professor in the Department of Computer Science & Engineering at Atria Institute of Technology, Bangalore. He has taught a wide range of subjects in Computer Science and Engineering, including Programming in C, Python Programming, Data Structures, Algorithms, Database Management Systems, Artificial Intelligence, Machine Learning, Software Engineering, Parallel Computing, Compiler Design, Theory of Computation, and Image Processing. Dr. Madhusudhan M. V. received his Ph.D. in Computer Science from Reva University, Bengaluru, Karnataka, India, in 2023. He holds an M.Tech degree in Computer Science and Engineering from Visvesvaraya Technological University (VTU), completed at JNNCE, Shivamogga, in 2007, and a B.E. in Electronics and Communication from Mysore University, obtained from PES College of Engineering, Mandya, in 2001.Dr. Amirtha Preeya V, M.E., Ph.D., is currently serving as an Assistant Professor at Presidency University, Bangalore. She has over 12 years of academic experience, with her primary areas of expertise in Machine Learning, Deep Learning, and Image Processing. She has published several research articles in reputed Q2, Q3, Q4, and SCI-indexed journals and has also contributed to international conferences. Her research focuses on developing intelligent solutions for real-world challenges, particularly in the fields of healthcare, agriculture, and computer vision. She is actively involved in guiding students in innovative projects and interdisciplinary research. With a passion for advancing knowledge, she continuously explores emerging technologies and contributes to bridging the gap between academic learning and industry.