##Microsoft Malware Classification Challenge (BIG 2015)-Kaggle ###Classify malware into families based on file content and characteristics

We used malware's binary file hexcode bigram's frequency as features to do multi-class classification using above technique we achieved logloss value of 0.042051982 in public leaderboard(136/377) and logloss of 0.043709504 in private leader board