Spam SMS Detection using Machine Learning Project- Introduction
Spam SMS Detection using machine learning project:
SMS, standing for a short messaging service. SMS has become a dumping ground of unwanted product descriptions and scam offers. It is important to classify "spam" and "ham" sms. Classification using Machine Learning helps separating spam messages from ‘ham’ or legitimate messages. We used four simple classification models on a dataset from UCI Machine Learning Repository.
We used text classification using Naive Bayes.
This course Project conatins following videos:
1.Problem Statement – 9m
2.Importing Libraries and Data Set-15 m
• Spam SMS Detection using Machine Learning ...
3.Count Vectorization -6m
• Spam SMS Detection using Machine Learning ...
4.Preparing Data-3m
• Spam SMS Detection using Machine Learning ...
5.Model Training – 21m
• Spam SMS Detection using Machine Learning ...
Data Set Url: https://archive.ics.uci.edu/ml/datase...