I recently completed my five distinct tasks, as part of my data science and machine learning internship at Oasis infobyte.
A machine learning-based email spam detection system utilizing NLP techniques to classify emails as spam or ham, enhancing cybersecurity by filtering unwanted messages with high accuracy and efficiency.
Multi-class email classifier (spam/personal/work) using TF-IDF + semi-supervised self-training on the Enron corpus. Compares Logistic Regression, Naive Bayes, LinearSVC & SGD with full preprocessing and visualization pipeline.
A web application for detecting whether an email message is spam or safe using a machine learning model.
Email Spam Detection Using Logistic Regression
SMS Spam detection Using Machine Learning
Data Science Internship at Oasis InfoByte July - August 2023
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