A 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.Create 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.Explore 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.
