machine-learning-workflow

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

AI Flow is an open source framework that bridges big data and artificial intelligence.

BentoML Example Projects 🎨

A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀

This repository demonstrated how you can use Github Actions to perform inference with your ML model

Machine Learning with Python can be used to predict the likelihood of events based on data. Includes the steps to be followed which applying machine learning to the problem statement.

Machine Learning Workflow

Framework for managing machine learning models using MLFlow, focusing on advanced model tracking, versioning, and experiment management.

Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.

Developed an image classification model for Scones Unlimited to identify delivery vehicles (bicycles vs. motorcycles) to enhance routing and loading bay assignments, thereby optimizing operational efficiency.

Tutorial followed from the Understanding Machine Learning with Python pluralsight course by Jerry Kurata. Used the Machine Learning workflow to process and transform Pima Indian Diabetes data to create a prediction model that would predict which people are likely to develop diabetes with 70% or greater accuracy.