Mastering classification algorithms for machine learning
learn how to apply classification algorithms for effective machine learning solutions
Bibliographic details
Summary
Mastering Classification Algorithms for Machine Learning by Partha Majumdar provides a practical introduction to classification techniques used in machine learning. The book explains important algorithms such as Naïve Bayes, K-Nearest Neighbors, Logistic Regression, Decision Trees, Random Forests, and Boosting. It focuses on understanding how these algorithms work and how they can be applied to real-world machine-learning problems. The book is useful for students, beginners, and professionals who want to develop a strong understanding of classification and build effective machine-learning solutions.