A collection of R Markdown Notebooks going through the chapters of the Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, specifically the 7th edition.
Machine learning codes (R) used in the IST 5535 class, Spring 2020, Missouri S&T
Statistical Learning : Analysis of Data Sets.
Introduction to Statistical Learning by Hastie, Tibshirani James, and Witten chapters' summary and lab solutions using Python3.
Analysis of Sales Information of Orange Juice Using Tree-based Methods
Tutorials at "Introduction to Machine Larning" course, bachelor deegree in Computer Science at UniMol (University of Molise)
Implementation of ISLR labs, exercises in Python
Analysis of Sales Information of Orange Juice Using SVMs
Análisis de salario obtenido del paquete ISLR
ISLR implemented in Python, a self-designed ML system
This repository contains my solutions of the coding exercises of the "Introduction to Statistical Learning with applications in R" book
factor selection, exploratory data analysis, statistical learning on both qualitative and quantitative data in R
Exercises and examples from "An Introduction to Statistical Learning with Applications in R" (2e) - James, Witten, Hastie, & Tibshirani
Exercises and solutions for Statistical Learning course
An Introduction to Statistical Learning: With Applications in R
Introduction to Statistical Learning
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