Capstone Project Azerbaijan

• ml-100k folder contains necessary data to train a recommender system.
• recommender_model folder contains trained and saved tensorflow model.
• locustfile.py contains necessary code to test model's performance. You can run this code with 'locust' command from the terminal in the project directory.
• EgitimUI is a front-end code to use your model in a UI
• Recommendation_system.ipynb contains code to do EDA, model creation,training and hyperparameter tuning.
• serving.py contains code to create a backend service.