Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
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Updated
May 22, 2024 - Python
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Machine Learning Engineering Open Book
😎 A curated list of awesome MLOps tools
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Frouros: an open-source Python library for drift detection in machine learning systems.
💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. 📊📈📉👨💻
Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python
My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
Capstone project for Udacity
A Helm chart containing Kubeflow Pipelines as a standalone service.
This repository contains examples of using various libraries/tools for MLOps.
Having fun with MLOPS: Wine Stuff
Here you will find a selection of miscellaneous data science projects that are not included in my project portfolio.
My professional resume
MLE NLP Matcher that maps item descriptions in natural language to carbon emission labels and factors
This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!
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