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"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.

Produktbeschreibung
"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.
Autorenporträt
Dr. Rupesh Kumar, a professor at K R Mangalam University, specializes in optimization and AI. With 15+ years of experience, he has published extensively and led research projects in engineering design and smart grid management. An accomplished educator, he has authored several books and actively contributes to professional organizations.