Recommendation System Project

This project is an end-to-end recommendation system, following a professional Machine Learning workflow, including data exploration, model building, deployment with Flask, and containerization with Docker.

Project Structure

• data/: Raw, processed, and external data files.
• notebooks/: Jupyter notebooks for EDA and model training.
• src/: Source code for data preparation, model training, and evaluation.
• models/: Saved models (SVD models, etc.).
• app/: Flask app files for serving the recommendation system.
• tests/: Unit tests for key components.
• scripts/: Scripts for running training and inference.

Requirements

Install the necessary dependencies using: pip install -r requirements.txt