Find some interesting datasets that we can use to analyze. The preference is something we can perform classification and regression on. Select 2-3 datasets you find interesting.
Create a "data" folder in the repository. In this folder create a separate folder for each dataset you found. Save the datasets here.
In the data folder create a readme.md file and list down the datasets you have found in this readme, with a brief description.
In each dataset subfolder, create a readme.md file and describe the dataset stored in that folder. You can lift descriptions from the UC Irvine site.
Visit the UC Irvine Data repository: https://archive.ics.uci.edu/
Find some interesting datasets that we can use to analyze. The preference is something we can perform classification and regression on. Select 2-3 datasets you find interesting.
Create a "data" folder in the repository. In this folder create a separate folder for each dataset you found. Save the datasets here.
In the data folder create a readme.md file and list down the datasets you have found in this readme, with a brief description.
In each dataset subfolder, create a readme.md file and describe the dataset stored in that folder. You can lift descriptions from the UC Irvine site.