Create Spam SMS Detector Machine Learning Model Using Python
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Create Spam SMS Detector Machine Learning Model Using Python - • Create Spam SMS Detector Machine Learning ...
About the System----------------
This system is a machine learning model designed to detect and classify SMS messages as spam or not spam. Using Python and popular libraries like scikit-learn, the system is trained on SMS datasets to identify spam patterns and make accurate predictions.
Includes:
Preprocessing SMS data to extract meaningful features.
Vectorizing text data using CountVectorizer or TfidfVectorizer.
Training a Naive Bayes classifier for efficient spam detection.
Model evaluation metrics such as accuracy, precision, recall, and F1-score.
Code to predict whether a new SMS is spam or not.
Benefits:
Automates the detection of spam messages, saving time and effort.
High accuracy with minimal computational resources.
Easy to integrate into existing SMS applications or systems.
Provides a clear understanding of text classification techniques in machine learning.