julia-kolkata-user-group / exploreml-julia

Julia port of Explore ML notebooks (March 2020)

ExploreML-Julia

Julia port of Explore ML notebooks (March 2020).

Contents

The repository contains notebooks that are meant to be used for teaching introductory level Machine Learning from scratch using Julia.
Curently this repository has following notebooks :

• Plotting using Julia(pyplot backend).
• Linear Algebera.

We are working on few more tutotials which includes :

• Automatic Differentiation
• Logistic Regression
• SVMs and more.

Development

Issues and PRs are always welcome.Make sure you follow the Contribution rules.If you are particapting in Hacktoberfest looking for a beginner level issue, look for good first issue and Hacktoberfest tags in the issue list.

exploreml-julia's Issues

Add Random Forest notebook

References : Python Random Forest Notebook


You can also wish to add some cherry on the cake :

• Benchmark using BenchMark Tools. Reference : Blog LInk.

Add examples using Pluto.jl

Pluto is new interactive notebook written in Julia.We would really love to have notebooks in Jupyter notebooks as well as in Pluto.

You can start with converting the notebooks from Jupyter to Pluto.Starting with the plotting notebook is a good idea.Don't forget to add enhancements such as slider, GIFs wherever possible. Doing cool things as in this example is a bonus.

ToDo

• Tutorial on how to plot on Julia like Matplotlib @Dsantra92
• Linear Algebra . Span, Trace, Rank of a matrix, Inverse, Det, Pseudoinv, Jacobian and Hessian @shivishbrahma
• Automatic Differentiation. Computing jvp and vjp of a neural network @ucalyptus

Add PyCall and CCall Tutorial.

Pythonistas and C lovers would find to easier to switch to Julia if they know they can reuse their scripts without any changes in Julia.
Reference : Dr. Huda Nassar's tutorial, notebooks