Table 1.
Resource name | Description | What is this good for? | Reference |
---|---|---|---|
Machine Learning in R for beginners | A short tutorial that introduces you to implementing ML using R | To get started with ML using R | 87 |
Stanford ML Tips and Tricks | A quick reference guide to ML concepts and algorithms | A cheat sheet for understanding the concepts and algorithms in ML | 88 |
Kaggle Data sets | A repository of data sets to build ML model | It contains numerous data sets that can be used to build ML models | 89 |
WEKA | An open source user interface ML tools | A great tool to get started with ML | 90 |
Google Colaboratory | It’s an online Python Jupyter notebook environment that requires no setup to use | An easy‐to‐use online tool with no installation necessary on your local machine. It is also a great tool for ML education | 91 |
Caret R package | R package for ML analysis | For researchers comfortable with R who want to perform ML analysis | 92 |
ML, machine learning.