Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Introduction to machine learning with scikit-learn
vsMLOps Guide
Introduction to machine learning with scikit-learn vs MLOps Guide
How do Introduction to machine learning with scikit-learn and MLOps Guide compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Introduction to machine learning with scikit-learn | MLOps Guide |
|---|---|---|
| What it is | This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn. | This guide introduces MLOps concepts and demonstrates their use with tools including DVC, CML, IBM Watson, Terraform, and Cookiecutter. |
| Website | ||
| Type | Open-source project | Online tool |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Introduction to machine learning with scikit-learn and MLOps Guide.
Study algorithms implemented in C++ through this open-source learning repository.
Follow a 100-day sequence of machine-learning coding exercises in this repository.
Open source
24 alternatives
A computer vision learning platform with interactive online code, an ebook, source code, and a reader community.
This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.