Advanced Machine Learning Fundamentals and Algorithms

Tyagi A.K.

Advanced Machine Learning Fundamentals and Algorithms - BPB Publications 2024 - 494

Table of Contents
Introduction to Machine Learning
Statistical Analysis
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Rule-Based Classifiers
Naïve Bayesian Classifier
K-Nearest Neighbors Classifiers
Support Vector Machine
K-Means Clustering
Dimensionality Reduction
Association Rules Mining and FP Growth
Reinforcement Learning
Applications of ML Algorithms
Applications of Deep Learning
Advance Topics and Future Directions

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