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INTRODUCTION TO REGRESSION AND CLASSIFICATION MODELS CLASSIFICATION WITH ML: A Practical Guide from Theory to Evaluation
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An Introduction to Regression: First Steps in Statistical Modelling
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Introduction to Statistical Learning: A Comprehensive Guide to R Programming, Data Visualization, Linear Regression, Decision Tree, Clustering, Dimensionality Reduction and Many More
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Python Programming: Machine Learning & Data Science, Scikit-learn (Linear Regression, Logistic Regression, KNN, Cross-Validation, Grid, Decision Tree, SVM, Min-Max): 3.1
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Introduction to Linear Regression Analysis (Wiley Series in Probability and Statistics)
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