A High-level Conceptual Framework to aid in working on Data-related Projects.
This repository is largely inspired from Abhishek Thakur's ML Framework Repo.
The dataset used for applying this framework is the Graduate Admission 2 dataset available on Kaggle.
- dataset : All raw and cleaned data is stored here
- notebooks : Contains Jupyter notebooks for EDA, Data Storytelling etc.
- src : Contains Python scripts used predominantly for predictive modelling
- utils : Contains utility scripts to aid in faster analysis
- models : All trained models are stored here (as .pkl files)
- output : Contains output files (submissions, images, reports etc.)
The Repository's directory structure can be used to guide your own data science and machine learning projects.