https://github.com/foldfelis/ml101.jl

This repository is not just an implement yet a learning process to fully understand the ML algorithms
https://github.com/foldfelis/ml101.jl

Last synced: about 1 month ago
JSON representation

This repository is not just an implement yet a learning process to fully understand the ML algorithms

• Host: GitHub
• URL: https://github.com/foldfelis/ml101.jl
• Owner: foldfelis
• License: mit
• Created: 2020-11-23T07:20:23.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-10-24T06:43:11.000Z (about 3 years ago)
• Last Synced: 2023-03-05T15:47:13.526Z (almost 2 years ago)
• Language: Julia
• Homepage: https://foldfelis.github.io/ML101.jl/
• Size: 8.28 MB
• Stars: 8
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# ML101

This repository is not just an implement yet a learning process to fully understand the ML models. In this reop, I implement some common and useful algorithms and some examples.

## Reference

1. [Machine Learning Foundations 1](https://www.coursera.org/learn/ntumlone-mathematicalfoundations)

2. [Machine Learning Foundations 2](https://www.coursera.org/learn/ntumlone-algorithmicfoundations)

3. [Machine Learning Techniques](https://www.coursera.org/learn/machine-learning-techniques)

4. [MLJ.jl](https://github.com/alan-turing-institute/MLJ.jl)

5. [GLM.jl](https://github.com/JuliaStats/GLM.jl)

6. [RDatasets.jl](https://github.com/JuliaStats/RDatasets.jl)