Bestseller

MACHINE LEARNING WITH PYTHON : A PRACTICAL APPROACH

Machine Learning with Python: A Practical Approach provides a hands-on guide to understanding and implementing machine learning algorithms using Python. Covering key concepts such as data preprocessing, supervised and unsupervised learning, model evaluation, and deployment, the book emphasizes real-world applications with practical coding examples. It introduces libraries like scikit-learn, TensorFlow, and Pandas, enabling readers to build, train, and optimize models effectively. Designed for beginners and intermediate learners, this book bridges the gap between theory and practice, offering step-by-step projects, case studies, and exercises to enhance problem-solving skills in data science and AI.