- Upload the following dataset to the google drive link
- Open the following Colab link and mount the google drive. Then, provide the dataset location in the cell where spark reads the csv data.Colab link
- This program stores the processed data back in the drive. Note the folder/file path.
- Now, Open the following to run the Linear Regression Model by replacing the read csv path with the processed data folder path URL
- Next, Open the following to run the Random Forest Model by replacing the read csv path with the processed data folder path URL
- Then, Open the following to run the Gradient Boosted Tree Model by replacing the read csv path with the processed data folder path.url
- Finally, you can also execute the following code to evaluate Gradient Boosted Tree Model for various system metrics url
- Test data will be run automatically for each model and graph is displayed at end. Note: We used multiple colab notebooks as it would be easy to evaluate each model individually.
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