Hands-On Implementation of Machine Learning Models

"Hands-On Implementation of Machine Learning Models" is a practical guide designed to bridge the gap between machine learning theory and real-world applications. It provides clear explanations of fundamental and advanced machine learning models, including linear and logistic regression, decision trees, support vector machines, k-means clustering, PCA, hierarchical clustering, random forests, gradient boosting machines, and neural networks.