Do you know basic Python and looking for an easy project to practice your skills?
You’re just a beginner and not ready to deal with neural networks yet?
This tutorial is perfect for you!
Here, we’ll create a spam filter using natural language processing techniques, list comprehensions, “for” loops, “if” statements and a bit of Pandas & nltk.
I’ll walk you through the processes and trails of thought step by step and give you some tips and examples of how to create projects from scratch.
In the end of the video, we’ll test an SMS of your choice to see how well our filter works. I hope you guys will find this video helpful! Good luck! :)
Dataset Link:
http://www.dt.fee.unicamp.br/~tiago/smsspamcollection
Google Colab Notebook - Complete Code:
https://github.com/MariyaSha/SimpleSmsSpamFilter/blob/master/SimpleSmsSpamFilter.ipynb
Jupyter Notebook - Complete Code:
https://github.com/MariyaSha/SimpleSmsSpamFilter/blob/master/SimpleSMSSpamFilter_JupyterNotebook.ipynb
#python #programming #web-development #machine-learning