Final year project

This web application is motivated by Baymax of the animated movie Big Hero 6. It detects Valvular Heart disorder i.e. damage or defect in one of the four heart valves. On the Machine Learning side, I have used AutoML from the deep learning platform H2O. And the interactive application is build in RShiny.

Azure ML Pipeline Project, completed for Nanodegree

Project from my Machine Learning Engineer with Azure Nano-Degree program at Udacity

This is first of the three projects required for fulfillment of the Nanodegree Machine Learning Engineer with Microsoft Azure from Udacity. In this project, we build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to an Azure AutoML run.

A low code, low-cost AutoML solution for tabular data.

Nice combination of MySQL and ML

A project using ML with R_h2o

This project uses Tabular Predictions of the AutoGluon library to train several models for the Bike Sharing Demand competition in Kaggle.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Read, Visualize, Automate and..

Serverless framework deployment for various lambda functions to achieve MLOps level 2 within AWS.

Automatically find the optimal Machine Learning model using TPOT

Helper to automate Cloud AutoML (vision) operations

This is the first project in Udacity's Machine Learning Engineer Nanodegree program.

Build end-to-end Data Science (NLP) project for Amazon's Product Review Sentiment Classification using AWS tools.

Predicting stock and cryptocurrency prices in R