Spam messages classification using Random forest algorithm. libraries used: numpy, pandas, Scikitlearn, matplotlib, spacy. accuracy = 93%.
** I've trained it with specific dataset, It will classify spam messages only which are in dataset. other spam messages which are not in dataset will be also classified as ham.