This project features a complete, scalable Machine Learning pipeline built for energy consumption forecasting. The core system utilizes Apache Spark for distributed processing and AWS for cloud-native deployment, focusing on high-throughput data transformation (ETL) and model inference.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project features a complete, scalable Machine Learning pipeline built for energy consumption forecasting. The core system utilizes Apache Spark for distributed processing and AWS for cloud-native deployment, focusing on high-throughput data transformation (ETL) and model inference.
sriharshitaA/Energy-Prediction
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This project features a complete, scalable Machine Learning pipeline built for energy consumption forecasting. The core system utilizes Apache Spark for distributed processing and AWS for cloud-native deployment, focusing on high-throughput data transformation (ETL) and model inference.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published