Jim's
Tutorials

I wrote a spam filter for text messages from the kaggle website.

https://www.kaggle.com/uciml/sms-spam-collection-dataset

I used methods from the chapter, but also from this notebook:

https://www.kaggle.com/adrianciconte55/99-prediction-accuracy/notebook

I used methods from this article to clean the text by removing punctuation and capitalization:

https://medium.com/@chaimgluck1/have-messy-text-data-clean-it-with-simple-lambda-functions-645918fcc2fc

I just tested a linnear regression model with cross validation and obtained these results: Precision: 95.26% Recall: 100.00%

Should probably set up a confusion matrix because the data was heavily weighted towards ham and test a few more models.

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		last modified	size
	spam.ipynb	Wed Nov 27 2024 04:21 am	11K