Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

Detects phishing emails from a combination of text (TF-IDF) and metadata (URLs, exclamation marks, urgency language, etc.) using four classifiers: Logistic Regression, Random Forest, Naive Bayes, and ...

Abstract: Sentimental analysis is an understanding and classification process of human sentiments about a particular product/service. It is involved in all departmental field to get the customer ...

This project, Inbox Intel: Spam Email Classifier, is an AI-powered system designed to automatically detect and classify emails as Spam or Ham (Legitimate Email) using Machine Learning and Natural ...

"I've had an enticing experience at UB while pursuing my masters in data science. The entire course structure is well organized to be completed in one year. The professors and TAs are supportive and ...

The system was developed using a combination of programming languages. Python was utilized for the implementation of machine learning (ML) algorithms, data processing, and model training. JavaScript ...