Artificial Intelligence (Machine Learning With Python)

Description

This eBook provides a comprehensive introduction to Machine Learning using Python. Readers will learn the principles of supervised and unsupervised learning, data preprocessing, feature engineering, regression, classification, clustering, model evaluation, hyperparameter tuning, and predictive analytics using libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow. Practical coding exercises and real-world datasets help learners build, train, evaluate, and deploy machine learning models for applications in finance, healthcare, manufacturing, marketing, and business intelligence. The guide also introduces ethical AI, model interpretation, and best practices for developing reliable machine learning solutions. Suitable for students, researchers, software developers, data analysts, AI practitioners, and professionals seeking practical machine learning skills for today’s data-driven world.