Pinned 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.
Valen1oussama's Repositories
Valen1oussama/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.
Valen1oussama/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.