iamalishayan/SMS-SpamClassifier

End-to-end SMS spam classifier built with Python, sklearn, and Flask – features a web interface for predictions.

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Gaurav241/Email-SMS-Spam-Classifier

The project leverages Naive Bayes Classifiers, a family of algorithms based on Bayes’ Theorem, which presumes independence between predictive features. This theorem is crucial for calculating the likelihood of a message being spam based on various characteristics of the data.

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MoreSangeet/SMS-Classifier

SMS Spam Classifier is a machine learning project that classifies SMS messages as spam or ham using the SMS Spam Collection dataset. It employs text preprocessing (TF-IDF) and machine learning algorithms like Logistic Regression, Naive Bayes, and SVM to predict spam messages effectively.

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Nirikshan95/SMS-Classifier

A SMS classifier to predict whether a message is spam or ham.

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Md-Emon-Hasan/ML-Project-Email-SMS-Spam-Classifier-with-MLOps

📧 ML project focused on email spam classification, demonstrating data preprocessing, model training, and evaluation using Python and scikit-learn.

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irkky/SMS-Spam-Collection-Dataset

"Spam SMS Classifier using TF-IDF and Naive Bayes. Detects spam messages with high accuracy.

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Py-Contributors/sms_classification

classify the sms in different categories.

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SINGHxTUSHAR/BOW-TFIDF-spamBuster

This project is a SMS spam classifier which detect whether the SMS is spam or ham using the multinomial Naive Bayes algorithm along the side of BOW/TF-IDF in NLP

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30lm32/ml-spam-sms-classification

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

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TrilokiDA/smsClassification-pySpark

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