Machine-Learning-in-R

Machine-Learning-in-R

dlab-berkeley

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

tutorial
View on GitHub Website
196 Stars
70 Forks
0 Watchers
CSS Language
other License
100 SrcLog Score
Cost to Build
$1.08M
Market Value
$1.94M
How is this calculated?

Growth over time

14 data points  ·  2021-07-01 → 2026-11-01
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about Machine-Learning-in-R

Question copied to clipboard

What is the dlab-berkeley/Machine-Learning-in-R GitHub project? Description: "Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles". Written in CSS. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

🏆 Show off this rank

dlab-berkeley/Machine-Learning-in-R on SrcLog (holo style)

Add it to a GitHub README or profile — the card updates as the ranking changes:

How to clone Machine-Learning-in-R

Clone via HTTPS

git clone https://github.com/dlab-berkeley/Machine-Learning-in-R.git

Clone via SSH

[email protected]:dlab-berkeley/Machine-Learning-in-R.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Machine-Learning-in-R issue tracker:

Open GitHub Issues

Similar to Machine-Learning-in-R

TensorFlow-Examples js-stack-from-scratch mostly-adequate-guide project-based-learning N-blog java8-tutorial the-way-to-go_ZH_CN IntelliJ-IDEA-Tutorial wifi-cracking 52-technologies-in-2016 stanford-tensorflow-tutorials show-me-the-code pytorch-tutorial digital_video_introduction learnapollo raspberry-pi-os tinyrenderer TensorFlow-Tutorials build-linux have-fun-with-machine-learning opensource.guide react-from-zero ffmpeg-libav-tutorial RxJava2-Android-Samples howtographql web-design-in-4-minutes node-in-debugging rust-learning catboost DeepLearningProject