Machine Learning with Python
Description
This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.
More details
Other editions
Additional editions
Persons
Tarkeshwar Barua, Blue Crest Univ., Liberia; Kamal Kant Hiran , Sir Padampat Singhania University, India; Ritesh Kumar Jain , Geetanjali Inst. of Tech. Studies, India; Doshi Ruchi , Universidad Azteca, Mexico
Content
- Intro
- Contents
- Chapter 1 Introduction to Machine Learning
- Chapter 2 Basics of Python Programming
- Chapter 3 Data Preprocessing in Python
- Chapter 4 Foundations of Machine Learning
- Chapter 5 Classic Machine Learning Algorithms
- Chapter 6 Advanced Machine Learning Techniques
- Chapter 7 Neural Networks and Deep Learning
- Chapter 8 Specialized Applications and Case Studies
- References
- Index
