## Expected outputs:
	- Plots showing quality control (i.e. outlier removal)
	- A trained ML model for permeability prediction 
	- Model performance metrics (e.g., RMSE, MAE, R^2,etc.)
	- Predicted permeability vs. Actual permeability plots
	- Feature importance / sensitivity interpretation
## To be submitted: 
	- The trained model along with a user guide text file (this file should clearly mention the necessary input well logs along with the input file format)
	- A summary report, and 
	- A slide deck for presentation showcasing all the bullet points within ‘Expected Outcomes’. 
## Dataset Provided:
 - 4 well log files including basic petrophysical logs: Gamma Ray, Resistivity, Porosity, Permeability, etc. 

For evaluation, the trained model will be tested on a test dataset.