SPAM Filter with 10 lines of Codes (Scikit Learn library of Python)
How to build Spam Filter with Scikit Learn Python Library with Machine Learning Model
This part covers
1. Prepare SMS SPAM data for Machine Learning Algorithm
i. Encoded message label with Pandas
ii. Split complete data into Train & Test Dataset
2. Create Document Term Matrix for messages (Convert text into Matrix tokens to feed into Machine Learning algorithm)
i. Convert text in tokem matrix followed by creating Document Term Matrix
3. Defined & trained Model with NaiveBayes algorithm
4. Calculate the Accuracy of model with test dataset
How to install Scikit Learn - • Python Scikit-Learn (Machine Learning...
Data to be downloaded - https://archive.ics.uci.edu/ml/datase...