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Author: elisalom
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Introduction
Overview of Statistical Learning
Introduction to R (Getting Things Done in R) Part 1
Introduction to R (Getting Things Done in R) Part 2
Introduction to Linear Regression
Implementation of Linear Regression
Introduction to Classification (Part I)
Introduction to Classification (Part II)
Resampling Methods
Linear Model Selection and Regularization
Moving Beyond Linearity
Tree-Based Methods
Support Vector Machines
Introduction -- INFO-I415 (INTRODUCTION TO STATISTICAL LEARNING)
INFO-I415 (INTRODUCTION TO STATISTICAL LEARNING) Copyright © by elisalom. All Rights Reserved.
