Analysis for Text Spam Detection using Supervised Learning
An NLP analysis project for text spam detection using Scikit-Learn and Pandas.
Description
In this project we use a few labeled email/sms datasets, clean our datasets, split them into train and test sets, train and fit the text classification model and finally get prediction results and analyze it.
Installation and Usage
View in Github from here.
Locally
Installation guide here. And then simply:
jupyter notebook spam_detection.ipynb
Credits
Developed by:
Published on: 2021/07/21.