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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