dvshnkr / mle

Machine Learning Experiments

mle

Machine Learning Experiments / Machine Learning Education

Introduction

Welcome to the repo! Here, I follow along with DataTalksClub's Machine Learning Zoomcamp.

Overview of Concepts and Tools covered (WIP)

1. Feature Engineering
2. Regression
   • Regularisation
3. Classification
   • Confusion Matrix
   • ROC, AUC

Folder structure (WIP)

├───notebooks
│   ├───2022-hw
│   └───2023-hw
└───src
    ├───09-serverless
    ├───2022-hw
    │   ├───05-deployment
    │   └───09-serverless
    ├───linear-models
    │   ├───archive
    │   └───res
    └───tests

Reproducibility

This project uses python 3.10, and the requirements.txt file with all package requirements for this project is available in the repo. The data used in the project can be downloaded by using the Makefile in the repo, by running:

make data --always-make

Feel free to open an issue if you have questions.