Making an AI model that can classify SMS messages as spam or legitimate. Using techniques like TF-IDF with classifiers like Logistic Regression to identify spam messages.
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- Programming Language -
- Python3
- Libraries -
- Numpy
- Pandas
- sklearn
- Tools -
- Google Colaboratory
- Jupyter Notebook
- Based on CRISP-ML framework
- Use of TF-IDF method to convert strings into numerical values
- Implementation of Logistic Regression on model building
- Evaluation metric used - Accuracy
- A short driver code (in Deployment section) to take user input sms and predicting whether it is spam or not