Aims at data representation and getting used to pandas. Main purpose is for data representation and be familiar with file(train and test set) i/o and other operations Basic concepts like imutator and a heatmap have been implemented.
Finally did the titanic problem (kaggle) and achieved 0.8324 percent accuracy , and a public score of 0.7703
Currently working on California house price prediction....