This repository is a sandbox for my Machine Learning studies. Here, I'll be experimenting with various Machine Learning models and techniques, and documenting my progress along the way.

To get started with this repository, you will need to have the following installed on your machine:

• Python (version 3.6 or later)
• Jupyter Notebook
• NumPy
• Pandas
• Scikit-learn
• Among others...

You can install these packages using the following commands:

pip install -r source/requirements.txt

Then, navigate to your directory and launch Jupyter Notebook by running the following command:

jupyter notebook

You should now be able to open and run the Jupyter Notebook files in this repository.

This repository contains the following files and directories:

source/experiments: This directory contains Jupyter Notebook files with various Machine Learning experiments and tutorials.

source/systems: This section contains info about ML Systems (tentative), meantime documenting it in my Notion personal account.

source/requirements: Contains dependencies required.

source/test_requirements: Contains dependencies for testing and refactoring code.

data: This directory contains datasets used in the notebooks.

conf/experiments: Section to allocate hyper-parameters (tentative).

I welcome contributions to this repository! If you have any suggestions or ideas for Machine Learning experiments or tutorials, feel free to create a pull request.

This repository has no license :D