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Python Machine Learning Projects

Dr. Deepali R Vora, Dr. Gresha S. Bhatia


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Purchasing books is a commendable way to back authors and publishers, recognizing their effort and ensuring they receive fair compensation for their work.

The book "Python Machine Learning Projects" by Dr. Deepali R Vora and Dr. Gresha S Bhatia is a practical guide to building projects using machine learning with Python. It is designed for those aiming to develop real-world applications by utilizing advanced technologies.
The authors thoroughly explain every step, from data preparation to model training and deployment. The book emphasizes practical aspects and real examples that can be applied immediately in your work.
This guide will open up new opportunities in the world of machine learning and deepen your understanding of key concepts. Don’t wait—download "Python Machine Learning Projects" by Dr. Deepali R Vora and Dr. Gresha S Bhatia in PDF today to start creating your own projects right away.

Who should read this book?

  • Programmers with basic Python knowledge
    If you already have a foundational understanding of Python and want to expand your skills in machine learning, this guide is perfect. It will teach you how to apply Python to solve real-world problems.
  • Students in technical fields
    For those studying machine learning and needing practical examples and exercises, this guide will help apply theoretical knowledge in practice through detailed projects.
  • Machine learning engineers
    For those already working in the ML field, this book provides a wealth of ready-to-use solutions and ideas that can be adapted to your own tasks.
  • Developers looking to explore a new field
    If you're an experienced developer but haven’t yet delved into machine learning, this book will guide you through this rapidly evolving area.
python machine learning projects free download

How is "Python Machine Learning Projects" different from other Python books?

Unlike most Python and machine learning books, Python Machine Learning Projects doesn’t just cover theory. The authors focus on real projects that can be implemented in practice. This is not just another Python book—it’s a comprehensive guide where each project is broken down step by step, from start to finish.


The main difference is that this book offers projects targeting specific applications, such as computer vision, data analysis, and recommendation systems. This allows you not only to understand how machine learning algorithms work but also to see them in action and use them in real-world scenarios.


You gain not just general Python knowledge but ready-to-use solutions that will deepen your understanding and speed up your project development.

More About the Author of the Book

Dr. Deepali R Vora, Dr. Gresha S. Bhatia

Dr. Deepali R. Vora is a Professor and Head of Computer Science & Engineering at Symbiosis Institute of Technology, Pune. She completed her Ph.D. in Computer Science and Engineering from Amity University, Mumbai. With over 22 years of teaching, research, and industry experience, she has published more than 60 research papers in reputable international and national journals and conferences. She has conducted hands-on sessions on Data Science using Python for both students and faculty.

Dr. Gresha S. Bhatia is the Deputy Head of the Computer Engineering Department at Vivekanand Education Society’s Institute of Technology (VESIT), Mumbai. She completed her Ph.D. in Technology from the University of Mumbai and has over 25 years of experience in both industry and academia. Dr. Bhatia has published more than 50 research papers in international journals and conferences. She was awarded the Microsoft AI for Earth Grant in 2019 and received a Minor Research Grant from the University of Mumbai.

FAQ for "Python Machine Learning Projects"

Do I need to have deep knowledge of machine learning to work with this book?

No, the guide is suitable for both beginners and experienced developers. The early chapters provide explanations of basic concepts and methods, allowing you to gradually dive deeper into the topic.

Are there practical examples for each chapter?

Yes, each chapter is accompanied by practical projects. They include step-by-step instructions on developing and deploying models, allowing you to immediately see the results of your work.

What types of projects can be created with this book?

The projects featured in the book include building recommendation systems, data analysis, forecasting, image processing, and more. These projects will help expand your skills and teach you how to tackle various tasks.

What Python libraries are discussed by Dr. Deepali R Vora and Dr. Gresha S Bhatia?

The book actively uses popular machine learning libraries such as TensorFlow, scikit-learn, Pandas, and others, offering extensive capabilities for creating powerful applications.

Is this guide suitable for preparing for a professional career in machine learning?

Yes, it prepares you for real-world work in the industry. The projects presented in the book meet modern market demands and can become a solid foundation for your professional portfolio.

Information

Author: Dr. Deepali R Vora, Dr. Gresha S. Bhatia Language: English
Publisher: BPB Publications ISBN-13: 978-9389898262
Publication Date: March 13, 2023 ISBN-10: 9389898269
Print Length: 260 pages


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