It uses Text Extraction Feature like TF-IDF Vectorizer and simple python code, to classify the messages as spam or ham (normal).

To minimise spam and phising attacks and any kind of digital frauds.

• Python3
• Pandas
• Scikit-Learn

1. Python3 can be installed from their official site https://www.python.org/ . Or you can use anaconda environment.

2. Pandas can be installed by

conda install -c anaconda pandas

or

pip3 install pandas

3. Scikit-Learn can be installed by

conda install -c anaconda scikit-learn

or

pip3 install -U scikit-learn

• No known bugs.
• The dataset contains more ham messages as compared to spam, this can cause few False-Positives or Type1 error.
• This project will be improved in few days by using Neural Networks and other efficient algorithms.