README.txt

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## Files included in Term Project -Drug-Disease Prediction and its Feature Selection:
## Mayank Murali (mqm6516)
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## 1) references        		    -> Reference pdfs used for the project.
## 2) screenshots       		    -> Screenshots obtained and used in report.		        
## 3) combine_disease-drug_testdata.xlsx    -> Dataset break (80:20 split)		        
## 4) rand_combine_disease-drug_trainData1000.xlsx -> Original dataset.
## 5) mqm6516_Final_Report.pdf              -> Final report.
## 6)Drug-Disease Prediction and its Feature Selection.ipynb  -> Python notebook.
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## Procedure:
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## 1) Run the Drug-Disease Prediction and its Feature Selection.ipynb using Anaconda or
##    any other source on the browser. 
## 2) Make sure the datasets (combine_disease-drug_testdata.xlsx  and rand_combine_disease-drug_trainData1000.xlsx)
## 3) Uncomment in the code for training and testing for 70:30 and 80:20 data split.
## 4) All the results are saved as .png and .xlsx in the same directory.	
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