End-to-end MLOps Facial Emotion Recognition app with ViT, Gradio UI, and CI/CD deployment on Hugging Face Spaces.

This project builds a predictive model to estimate visa approval likelihood using candidate and job-related features. It showcases an end-to-end machine learning workflow with EDA, feature engineering, and model tuning to automate parts of the visa evaluation process.

Sentiment Analysis is a Natural Language Processing (NLP) technique used to identify the emotional tone behind a piece of text — typically classified as positive, negative, or neutral.

Production-ready customer segmentation system with interactive Streamlit dashboard, FastAPI REST API, and SHAP explainability

An end-to-end machine learning project to predict the sale price of bulldozers. This repository details a full data science workflow, including data preprocessing, model training with scikit-learn pipelines, hyperparameter tuning, and model evaluation.