- Select a Kaggle data set that is suitable for Linear Regression.
- Note make sure the data set has csv file/s to download.
- Data set must be appropriate for a Linear Regression. If you’re not sure then as Instructor or TA.
- Load the data you receive into a Pandas DataFrame.
- Show the first five rows of the data set.
- Show the description and the info of the data set.
- Ensure that any date columns have been cast into a datetime object in your DataFrame.
- Using a regression model, split your data into train and test data.
- Fit your training split to the regression model.
- how your regression model’s score.
- Draw at least three conclusions from your regression model.
- Your notebook should be clutter free and polished.