## PROBLEM STATEMENT
The data given to you contains the information decoded by astronomers aboard. Each sample(10-tuple) corresponds to one of the black holes viz. __Zeta Draconis, Alpha Boreas, Beta Eioneous, Alpha Hemithea, and Gamma Saggita__. Your task is to build a Classifier from this data, which when given a new sample, would predict the black hole from which this sample is most likely to have been generated. The given data contains 2000 samples. Your performance will be evaluated based on your classifier’s accuracy on the hold-out data of 500 samples. __Any further exploratory analysis and findings from the data would be duly rewarded__.