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Автор: Partha Majumdar
Издательство: BPB Publications
Год: 2023
Страниц: 380
Язык: английский
Формат: Retail PDF
Размер: 18.8 MB
A practical guide to mastering Classification algorithms for Machine Learning. Classification algorithms are essential in machine learning as they allow us to make predictions about the class or category of an input by considering its features. These algorithms have a significant impact on multiple applications like spam filtering, sentiment analysis, image recognition, and fraud detection. If you want to expand your knowledge about classification algorithms, this book is the ideal resource for you. The book starts with an introduction to problem-solving in machine learning and subsequently focuses on classification problems. It then explores the Naïve Bayes algorithm, a probabilistic method widely used in industrial applications. Python is the programming language used in this book. By the end of the book, you will become proficient in utilizing classification algorithms for solving complex Machine Learning problems.