Reproducible Data Science with Machine Learning
Learners:
Instructor: Microsoft Developer
Duration: 1.00
This course provides an introduction to reproducible research with Rafal Lukawiecki. It covers the differences between modelling and exploration versus software development, and outlines the steps to a reproducible workflow. Demonstrations include using RStudio and RMarkdown running locally, as well as RMarkdown notebooks in the cloud. Participants will gain an understanding of how to create a reproducible workflow for data science and machine learning.▼
Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Learners can learn a variety of topics from this online course. Firstly, they can learn about reproducible research with Rafal Lukawiecki. This includes understanding the differences between modelling and exploration versus software development, and the steps to a reproducible workflow. Secondly, learners can gain hands-on experience with demos of a workflow using RStudio and RMarkdown running locally, as well as RMarkdown notebooks in an Azure ML Compute Instance. Finally, learners can gain an understanding of the importance of reproducible research and how to apply it in their own projects. With this course, learners can unlock the exciting world of learning and gain the skills to become a successful data scientist.
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