Gmail Extraction and Classification

📧 Gmail Extractor

Extracts emails from Gmail from 'Inbox' and 'Spam' folders in .txt format. Then converts each folder to Excel files. Adds 'spam' and 'non-spam' Labels and 1/0 Label_Numbers. Merges both Excel files into one and shuffles them.

Working of Code

NOTE: enable 'Less Secure App' access for the code to work https://myaccount.google.com/lesssecureapps

📬 Gmail Classification

Main steps to build a classifier -

🛠️ Machine Learning Models Used -

• Logistic Regression
• Support Vector Machine (Linear)
• Support Vector Machine (RBF)
• K Nearest Neighbor
• Decision Tree Classifier
• Random Forest Classifier
• Multinomial Naïve Bayes
  

  Python Libraries