“Practical Machine Learning: Projects and Use Cases with Python” is a comprehensive, hands-on guide designed for students, data enthusiasts, and professionals who want to learn machine learning by solving real-world problems. This book goes beyond theory, offering a project-based learning approach that enables you to build, train, and deploy machine learning models using industry-relevant datasets and tools.
Each chapter introduces a core machine learning concept followed by a real-life case study from domains such as finance, healthcare, retail, and social media. Readers will walk through the full workflow: data collection, preprocessing, model selection, training, validation, performance tuning, and deployment.
Using Python and powerful libraries like scikit-learn, pandas, matplotlib, TensorFlow, and XGBoost, this book empowers you to implement machine learning pipelines and interpret results with confidence.
🧠 Key Features:
End-to-end machine learning projects with code and datasets
Step-by-step implementation of supervised and unsupervised learning
Use cases including customer churn prediction, stock market analysis, fraud detection, recommendation systems, and more
Guidance on model evaluation, cross-validation, and performance metrics
Best practices for feature engineering and model tuning
Introduction to deploying ML models using Flask and Streamlit
Whether you’re preparing for a job in data science or looking to apply ML in your organization, this book equips you with the tools and experience to tackle real-world challenges using machine learning and Python.
Practical Machine Learning: Projects and Use Cases with Python
Estimated delivery dates: Mar 31, 2026 - Apr 4, 2026
₹719.00 Save:₹30.00(4%)
Mr. Tanveer Ahmed (Ph.D.) is currently working as an Assistant Professor in the Department of Computer Science & Engineering, School of Engineering, Presidency University, Bangalore. He is presently pursuing his Ph.D., with research interests in Artificial Intelligence, Machine Learning, and Deep Learning.
His academic and research work spans both theoretical and applied aspects of computer science. In particular, he has explored novel approaches to machine learning and deep learning for emotional recognition in healthcare systems.
Mrs. Hajeera Nikhat Khanam (Ph.D.) Currently working as an Assistant Professor in the Department of Computer Science & Engineering, Atria Institute of Technology, Bangalore.
Currently pursuing a Ph.D, where she is interested in artificial intelligence, particularly in the field of deep learning. Her focus is on advancing machine learning methodologies and their practical applications across various industries. Mrs. Spoorthi T (Ph.D.) is currently working as an Assistant Professor in the Department of Artificial Intelligence and Data Science, GITAM School of Technology, GITAM University, Bangalore. She is pursuing her Ph.D., with research interests in Artificial Intelligence, Machine Learning, and Deep Learning.
She is an enthusiastic researcher and an academic in Artificial Intelligence and Computer Vision. With a postgraduate degree in Computer Science and Engineering, she has Mr. Abdul Saleem Javeed (Ph.D.) is currently working as an Assistant Professor in the Department of Computer Science and Engineering, GITAM School of Technology, GITAM University, Bengaluru campus. He is presently pursuing his Ph.D., with research interests in Natural Language processing, Machine learning, and Deep learning.
His academic and research work spans both theoretical and applied aspects of computer science. In particular, he has explored applications of NLP using Deep learning in healthcare systems
His academic and research work spans both theoretical and applied aspects of computer science. In particular, he has explored novel approaches to machine learning and deep learning for emotional recognition in healthcare systems.
Mrs. Hajeera Nikhat Khanam (Ph.D.) Currently working as an Assistant Professor in the Department of Computer Science & Engineering, Atria Institute of Technology, Bangalore.
Currently pursuing a Ph.D, where she is interested in artificial intelligence, particularly in the field of deep learning. Her focus is on advancing machine learning methodologies and their practical applications across various industries. Mrs. Spoorthi T (Ph.D.) is currently working as an Assistant Professor in the Department of Artificial Intelligence and Data Science, GITAM School of Technology, GITAM University, Bangalore. She is pursuing her Ph.D., with research interests in Artificial Intelligence, Machine Learning, and Deep Learning.
She is an enthusiastic researcher and an academic in Artificial Intelligence and Computer Vision. With a postgraduate degree in Computer Science and Engineering, she has Mr. Abdul Saleem Javeed (Ph.D.) is currently working as an Assistant Professor in the Department of Computer Science and Engineering, GITAM School of Technology, GITAM University, Bengaluru campus. He is presently pursuing his Ph.D., with research interests in Natural Language processing, Machine learning, and Deep learning.
His academic and research work spans both theoretical and applied aspects of computer science. In particular, he has explored applications of NLP using Deep learning in healthcare systems
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| Weight | 0.8 kg |
|---|---|
| Dimensions | 27.87 × 21.6 × 4.7 cm |
| Binding Type | Paperback |
| Languages | |
| Publishers |
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