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boston_housing_price_prediction_ml_project

This repository contains a machine learning project aimed at predicting housing prices in Boston. This project showcases the end-to-end process of building and deploying a machine learning model, from data preprocessing and model training to serialization and deployment.

design-portfolio

This repository contains wireframes, mockups, product canvas and other UI/UX related materials designed by myself.

exploratory_data_analysis_and_feature_engineering

simpleflaskapp-deployed-on-heroku

SimpleFlaskApp is a minimalistic Flask application designed to showcase the basic setup and deployment of a Python web application using Flask and Docker. The application serves a simple greeting and is designed to demonstrate the essential components of a web application, including routing and application deployment on Heroku.

student_performance_indicator_aws_ci-cd

This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.

university_admission_prediction_ml_regularization

University Admission Predictor is a sophisticated Flask-based web application designed to predict the likelihood of admission to graduate programs based on student profiles. It leverages a range of regression techniques to evaluate admission chances.This project showcases the practical application of machine learning in educational forecasting.