What it does
A classifier that can distinguish spam emails from non-spam emails.
How I built it
I used Jupyter Notebook to get started on the project. Cleaned the data using regex and various other techniques. Used machine learning techniques like feature engineering to attain the best possible results from a predictive model.
Accomplishments that I'm proud of
Attained an accuracy of 98.3% in classifying emails (sample size: 65,000 emails )
Built With
- data
- jupyter
- python
- regex
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