trainindatadeploying-machine-learning-models
895 stars8,149 forksJupyter NotebookBSD-3-Clause2 viewswww.udemy.com/course/deployment-of-machine-learning-models/?referralCode=D4FE5EA129FFD203CFF4
Конспекты, код и прочие материалы к семинарам по машинному обучению, проводимым на ВМК МГУ.
This repo is created for backward compatibility. To access actual course repository, please, refer to girafe-ai/ml-course
This project is a structured educational program and machine learning engineering course. It provides a comprehensive curriculum and learning path focused on data science, the development of predictive models, and the operational aspects of MLOps. The instructional material covers the full machine learning lifecycle, moving from basic data engineering to production deployment. This includes guides on wrapping models in APIs, utilizing container-based packaging, and implementing serverless architectures to host models in cloud environments. The program encompasses technical training in predic
Accompanying repo for the online course Deployment of Machine Learning Models.
The main features of trainindata/deploying-machine-learning-models are: Educational Courses.
Open-source alternatives to trainindata/deploying-machine-learning-models include: dreadatour/flake8lint. esokolov/ml-course-msu — Конспекты, код и прочие материалы к семинарам по машинному обучению, проводимым на ВМК МГУ. girafe-ai/ml-mipt — This repo is created for backward compatibility. To access actual course repository, please, refer to… hal3/ciml — This repository contains the source code for the CIML book (see http://ciml.info/) as well as any course materials… jcreeks/machine-learning-in-finance — This is the page of lecture slides for my Machine Learning in Finance Course in NYC Data Science Academy. datatalksclub/machine-learning-zoomcamp — This project is a structured educational program and machine learning engineering course. It provides a comprehensive…