The project aims to evaluate the effectiveness of various machine learning methods in predicting the likelihood of new customers experiencing energy price increases. Utilizing the dataset provided in the CE802_P2_Data.zip file, the investigation will focus on comparing the performance of the following machine learning techniques:
-
Notifications
You must be signed in to change notification settings - Fork 0
The project aims to evaluate the effectiveness of various machine learning methods in predicting the likelihood of new customers experiencing energy price increases. Utilizing the dataset provided in the CE802_P2_Data.zip file, the investigation will focus on comparing the performance of the following machine learning techniques:
abiodunarabaa/Assessing-Machine-Learning-Approaches-for-Predicting-Energy-Price-Risks
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
The project aims to evaluate the effectiveness of various machine learning methods in predicting the likelihood of new customers experiencing energy price increases. Utilizing the dataset provided in the CE802_P2_Data.zip file, the investigation will focus on comparing the performance of the following machine learning techniques:
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published