Publish Book and Book Chapter

Chapter 1 deals with Introduction to Machine Learning & Preparing to Model, Chapter 2 is about Modelling and Evaluation & Basics of Feature Engineering, Chapter 3 focuses on Supervised Learning, SVM, KNN and Bayes theorm. Chapter 4 deals with Supervised Learning and Regression-types. Chapter 5 concentrates on Unsupervised Learning, clustering, K Mean, PAM, DBSCAN algorithms. Chapter 6 contains advanced ML, Neurons, NN, MLP and Reinforcement Learning. Chapter 7 is about Ensemble learning, Bagging, Boosting and Stacking.