Description
Data Science and Machine Learning Using Python is a complete resource for learning the fundamentals and applications of machine learning in Python. This 2nd edition by Reema Thareja provides comprehensive coverage of data science concepts, statistical methods, and machine learning algorithms.
The book is designed for both beginners and intermediate learners, featuring practical examples, hands-on projects, and real-world case studies. It covers essential topics including data preprocessing, exploratory data analysis, supervised and unsupervised learning, deep learning basics, and model evaluation techniques.
Readers will gain proficiency in popular Python libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow. Each chapter includes working code examples and exercises to reinforce learning, making it an ideal resource for students, professionals, and practitioners looking to master data science and machine learning.







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