
Автор: Harsh Bhasin
Издательство: BPB Publications
Год: 2020
Страниц: 230
Язык: английский
Формат: pdf
Размер: 10.1 MB
Get familiar with various Supervised, Unsupervised and Reinforcement learning algorithms. This book covers important concepts and topics in Machine Learning. It begins with Data Cleansing and presents an overview of Feature Selection. It then talks about training and testing, cross-validation, and Feature Selection. The book covers algorithms and implementations of the most common Feature Selection Techniques. The book then focuses on Linear Regression and Gradient Descent. Some of the important Classification techniques such as K-nearest neighbors, logistic regression, Naïve Bayesian, and Linear Discriminant Analysis are covered in the book.