Email Spam Classification in Python

By Suyash Singh

The project is based on Machine Learning written in the language "Python", in this project we only classify the email spam dataset by using some library.

Firstly, we import some libraries by using the command line "pip install pandas", "pip install sci-kit-learn" etc. In this project, we take a dataset as a "spam.csv" name and classify the data as we considered in the machine learning project. In this project, we used cleaning data, Naive Bayes Algorithm, SVM(Support Vector Machine Algorithm), analyzing output in different cases in this case like Multinomial NB, Gaussian NB, Bernoulli NB.

So, that was about my first steps in the Email-Spam Classification I hope that it’s helpful if you are thinking about starting a text-classification project! And I will continue sharing various reflections and experiments along the way. Next time, I will explore more the improvement/change of training data and features.