GitHub topics: emailspamclassifier
quantum1208/Email_spam_classifier
A spam detection model using Logistic Regression and TF-IDF (Term Frequency-Inverse Document Frequency) for text feature extraction. It processes a dataset of emails and classifies them as either spam (0) or ham (1).
Language: Jupyter Notebook - Size: 202 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

annapoorna-a-k/SPAM-EMAIL-FILTERING-Using-Naive-Bayes
This project focuses on using Gaussian Naive Bayes, a probabilistic algorithm, to filter spam emails effectively. By leveraging its simplicity and efficiency, the goal is to enhance email security by accurately classifying emails as either spam or legitimate.
Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

pankil-soni/email-spam-detector
Website for predicting whether a E-mail/SMS is spam or not
Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Aadi-stack/Machine-Learning--Projects
Machine Learning Projects
Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

Abhishek-Singh-AS/Projects.ipynb
Projects
Language: Jupyter Notebook - Size: 913 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
