# Handle missing values and outliers appropriately.
#Normalize or scale features as needed.
#Split the data into training and testing sets.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project focuses on analyzing student performance data to gain insights into academic outcomes. It involves several key steps: 1.Data Cleaning 2.Data Visualization 3.Feature Engineering 4.Data Transformation 5.Outcome Analysis
Abhay-Chand/data_preprocessing
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This project focuses on analyzing student performance data to gain insights into academic outcomes. It involves several key steps: 1.Data Cleaning 2.Data Visualization 3.Feature Engineering 4.Data Transformation 5.Outcome Analysis
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published