Machine Learning with R Notes
Preface
Preface
Summary Notes
1
Strategy to implement machine learning solutions
2
Feature Engineering
3
Understanding model performance
4
Resampling methods
5
Generalized linear models (GLM)
6
Generative Models for Classification
7
Non-parametric Methods
8
Time-event (Survival) Analysis and Censored Data
9
Unsupervised Learning
ISLR Execices 2nd Edition
02 - Statistical Learning
03 - Linear Regression
04 - Classification
05 - Resampling Methods
11 - Survival Analysis and Censored Data
Table of contents
Preface
Machine Learning with R Notes
Author
Angel Feliz
Preface
In this book I will write notes related to ML methodology based on the next resources:
Hands-On Machine Learning with R
An Introduction to Statistical Learning
1
Strategy to implement machine learning solutions