Email Spam detection using NLP (Natural Language Processing)

Building a spam filter by predicting whether an email message is spam (junk email) or ham (good email). Library used is NLTK in Python

Dataset : emails.csv

Column name	Detail
text	Contains the subject and body of email in string format
spam	If email is spam then 1 else 0

Steps Involved:

Step 1 : Understanding and Cleaning the data

Step 2 : Converting text to words

Step 3 : Stemming/Lemmatizing words

Step 4 : Vectorizing words and creating respective columns for the same

Step 5 : Separating data into train and test datasets

Step 6 : Applying machine learning algorithm (here I have choosen Random Forest) on train data

Step 7 : Choosing best hyperparameters

Step 8 : Evaluating the model on test data