Artificial Intelligence (Machine Learning With Python)

Description

This eBook provides a practical introduction to Machine Learning using Python, combining programming concepts with real-world data analysis. Readers will learn data preprocessing, feature engineering, supervised and unsupervised learning, regression, classification, clustering, model evaluation, and predictive analytics using Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Step-by-step coding exercises and practical projects help learners understand how machine learning models are built, trained, tested, and optimized. The eBook also introduces neural networks, model deployment, and AI applications in healthcare, finance, manufacturing, education, and business intelligence. Suitable for students, programmers, researchers, and professionals with basic Python knowledge, this guide develops practical skills needed to begin a career in data science and artificial intelligence.