Based on a YouTube tutorial I implemented this project to get hands-on experience with ML text classification and deployment using Streamlit.: 💡 What I learned from this project: • Feature ...
Binary sentiment classifier built on the IMDB Movie Reviews dataset. Ships with a trained Logistic Regression, Naive Bayes, and Linear SVM — plus a Streamlit web app, a FastAPI backend, and a Jupyter ...
A machine learning system using Scikit-learn that detects phishing emails with high accuracy. The model uses feature extraction, text analysis, and Random Forest classification to classify emails as ...
Enthusiastic B. Tech AI & Data Science Student | Python Programmer| St. Joseph’s Institute of Technology | Eager to Learn and Explore.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results