A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

A curated list of awesome open source and commercial platforms for serving models in production 🚀

A curated list of awesome open source and commercial MLOps platforms 🚀

This project integrates Hyperledger Fabric with machine learning to enhance transparency and trust in data-driven workflows. It outlines a blockchain-based strategy for data traceability, model auditability, and secure ML deployment across consortium networks.

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype…

Predict the future sale price of a bulldozer, given its characteristics and previous examples of how much similar bulldozers have been sold for...

I walk you though what an entire machine learning cycle looks like for a binary classification problem. For this walkthrough, we are utilizing UCI's Iranian Churn dataset

A controlled environment to play around with various data errors and stages in the ML lifecycle and measure their impact on model fairness and stability.

A complete machine learning internship repository covering Python basics, data preprocessing, EDA, model training, serialization, and a Streamlit spam classifier demo for real-time predictions.