Machine-learning algorithm: Naives-Bayes

Sample data.csv is attached, you can take that data as refernce to build your machine learning model. An emailspam.ipynb file is attached in the folder, to build a machine learning model.

first train the data set and save the model in the .pkl file, so that we can use that file for to build a complete sytsem.

After saving .pkl you can see a .py file were whole code runs, for the system. After running the script. You can just enter the text and check wether the message is an ham or an spam. Ham means not a spam message.