Oussama Lachgar's repositories
ML-app-for-network-traffic-forecasting.
This project revolves around employing an LSTM model to forecast average network traffic. The implementation involves integrating the LSTM model within a Flask framework for deployment.
youtube_comments_ETL
This project showcases a robust data pipeline for extracting comments from YouTube videos using the YouTube Data API, processing the comments, and storing them in a MySQL database. What sets this project apart is its integration with Apache Airflow, which allows you to schedule and orchestrate the ETL (Extract, Transform, Load) process with ease.