R
25 TopicsGuide to the Microsoft Azure Notebooks for Students
First published on MSDN on Jun 10, 2017 This is a guest post by Francine Tan, Microsoft Student Partner at Imperial College LondonHi I'm Francine, a Penultimate year Electrical and Electronic Engineering student and Microsoft Student Partner at Imperial College London check out my linkedin profile at https://www.4.6KViews0likes0CommentsBringing R Workloads to Azure Machine Learning Service
The two of the most popular platforms for data science workloads are – R and Python. Both platforms have a large ecosystem of libraries and support which enable developers and innovators to build solutions quickly and efficiently. Looking more closely however, it is quite evident that around the academic and research, R draws at least as many supporters as Python.https://twitter.com/jplane3.3KViews0likes0CommentsA walk in the tidyverse
If you worked with R to explore a dataset and build a report from this analysis, you have probably heard about the tidyverse. If you used R in your data science project, to fit a predictive model able to produce the most accurate prediction possible for new data, you have probably experimented with tidymodels. However, questions like “what is the tidyverse” or “how does the tidymodels framework fit in it” might still have no clear answer for you.2.5KViews1like0CommentsCreate Machine Learning Models with R and Tidymodels - new learning path on MS Learn
Looking to embark on a new adventure in data science using the R language? Wishing to learn the foundations of machine learning while R-ing your way through? If you answered yes to one of these questions, we have great news for you.2.2KViews1like0CommentsGet an introduction to clustering models and learn how to train a clustering model in R
Date: Tuesday July 12, 2022 Live Event Time: 15:00 PM (GMT) 08:00 AM (PT) RSVP for the session: Introduction to clustering models by using R and Tidymodels - part 4 of 4, Tue, Jul 12, 2022, 4:00 PM | Meetup2KViews0likes0CommentsExplore and analyze data with R - part 1 of 4
Date: May 3, 2022 Live Event Time: 15:00 PM (GMT) 08:00 AM (PT) Join us for the session at Explore and analyze data with R - part 1 of 4, Tue, May 3, 2022, 4:00 PM | Meetup Session Recording: https://youtu.be/jsgscTo6o7Q Let us say the Department of Transportation is considering the addition of a new airport. As the incredible data scientist, you are, you have been requested to explore existing data. The results of your analysis might form the basis of a report or a machine learning mode. In this session, you will explore a real-world dataset containing flights data from the US Department of Transportation.2KViews1like0CommentsGetting started with R · Arithmetic and logical operators, Objects, Vectors, Factors & Lists
First published on MSDN on Jul 17, 2017 Guest post by Slaviana Pavlovich Microsoft Student Partner I am an IT and Management student at University College London with a passion for data science.1.7KViews0likes0CommentsIntroduction to classification models by using R and Tidymodels part 3 of 4
Date: Tuesday June 21, 2022 Live Event Time: 15:00 PM (GMT) 08:00 AM (PT) RSVP for the session: Introduction to classification models by using R and Tidymodels part 3 of 4, Tue, Jun 21, 2022, 4:00 PM | Meetup1.5KViews0likes0CommentsLearn Live TidyFridays series - ML with R
Every Friday starting September 2, 2022 through September 23, 2022 join us for a new live learning series where you will be guided by subject matter experts through Learn modules around machine learning fundamentals and R programming in real time along with developers around the globe.1.5KViews0likes0Commentsnbgrader to automate assessment and grading with JupyterHub on Azure Data Science VM
First published on MSDN on Jul 21, 2017 Jupyter notebook on Microsoft Data Science Virtual MachineThe Anaconda distribution on the Microsoft Data Science VM comes with a Jupyter notebook, an environment to share code and analysis.1.5KViews0likes0Comments