https://github.com/shweta189/sms-spam-detection
Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
https://github.com/shweta189/sms-spam-detection
eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit
Last synced: 2 months ago
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Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
- Host: GitHub
- URL: https://github.com/shweta189/sms-spam-detection
- Owner: shweta189
- Created: 2025-01-29T14:55:19.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-29T15:47:11.000Z (over 1 year ago)
- Last Synced: 2025-01-29T16:22:48.696Z (over 1 year ago)
- Topics: eda, machine-learning-models, nltk, numpy, pandas, plotly, python, seaborn, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 318 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0