Inspiration

To work with Data Set Visualization projects

What it does

It trains the model from about 80% of the data set and sends out the result using 20% of the test data provided to it.

How we built it

This is made using online references

Challenges we ran into

-Training the model

  • Installing packages

Accomplishments that we're proud of

  • First ML project that I made
  • Reading csv file using pandas

What we learned

Usage of some libraries of python

  • pandas
  • sklearn

What's next for Spam Email Frequency Checker

Try to explore ML Projects more as I found it very interesting

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