Every week starting September 2, 2022 through September 23, 2022 (4 episodes)

Learn Live: Create machine learning models with R and tidymodels

Learn how to explore and analyze data by using R. Get an introduction to regression models, classification models, and clustering models by using tidymodels and R.

Join us for this live learning experience where you will be guided by subject matter experts through the Learn modules below in real time along with developers around the globe. Earn badges, prepare for certifications and Learn Live with a great community! See you there :)

Explore and analyze data with R

Explore and analyze data with R: September 2, 2022 4:00PM - 5:30PM (Central Europe)

In this module, you'll explore, analyze, and visualize data by using the R programming language. In this episode, you will learn:

  • Common data exploration and analysis tasks.
  • How to use R packages such as ggplot2, dplyr, and tidyr to turn raw data into understanding, insight, and knowledge.
Introduction to regression models by using R and tidymodels

Introduction to regression models by using R and tidymodels: September 9, 2022 4:00PM - 5:30PM (Central Europe)

Get an introduction to regression models. In machine learning, the goal of regression is to create a model that can predict a numeric, quantifiable value. In this episode, you will learn:

  • When to use regression models.
  • How to train and evaluate regression models by using the tidymodels framework.
Introduction to classification models by using R and tidymodels

Introduction to classification models by using R and tidymodels: September 16, 2022 4:00PM - 5:30PM (Central Europe)

Classification is a form of machine learning in which you train a classification model to predict which category an item belongs to. In this module, you learn how to use the R programming language and tidymodels framework to train classification models. In this episode, you will learn:

  • When to use classification.
  • How to train and evaluate a classification model by using the tidymodels framework.
Introduction to clustering models by using R and tidymodels

Introduction to clustering models by using R and tidymodels: September 23, 2022 4:00PM - 5:30PM (Central Europe)

Get an introduction to clustering models. Clustering is the process of grouping objects with similar objects. In this episode, you will learn:

  • When to use clustering models
  • How to train and evaluate clustering models by using the tidymodels framework

Our Speakers and Moderators

  • Beracah May

    Financial Engineering Student, Microsoft Student Ambassador, Strathmore University

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  • Bethany Jepchumba

    Cloud Advocate, Microsoft

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  • Carlotta Castelluccio

    Cloud advocate, Microsoft

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  • Eric Wanjau

    Data Scientist and Researcher, Leeds Institute for Data Analytics - University of Leeds

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  • Jasleen Sondhi

    Aspiring Data Scientist, Microsoft Student Ambassador, N/A

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  • Karani Wachira

    Undergrad student, DeKUT R Community Lead, Kimathi University of Technology

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  • Olanrewaju Oyinbooke

    Senior Cloud Advocate, Microsoft

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  • Pascal Burume

    Network and telecommunications engineer, Microsoft Student Ambassador, Youth Africa Technologies

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  • Roberto González

    QA Automation Engineer, Nicasource

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  • Sray Agarwal

    Principal, Microsoft MVP in AI, Fractal AI

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  • Vidushi Gupta

    Microsoft Student Ambassador Gold, DevRel intern, Appsmith

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Frequently Asked Questions

Is there a cost to attend the event?

The event is free! You can join YouTube to stream the content for free!

When does the event take place?

Every week starting September 2, 2022 through September 23, 2022

Will this event be available on-demand?

Yes! You can stream our past events anytime! Browse all Learn Live to stream anytime.

Where does the event take place?

This event series is virtual! Join us and thousands of others to enjoy the experience from the comfort of your own home, office, or device.

What language are episodes delivered in?

This show is delivered in English. Captioning in 14 different languages will be available in the recordings, made available 48 hours after each live show at Learn Live.

Code of Conduct

We seek to provide a respectful, friendly, professional experience for everyone, regardless of gender, sexual orientation, physical appearance, disability, age, race or religion. We do not tolerate any behavior that is degrading to any gender, race, sexual orientation, or disability, or any behavior that would be deemed harassment or discrimination. Individuals are responsible for knowing and abiding by our standards and we encourage everyone to assist in creating a welcoming and safe environment. Additionally, we strive to treat our shared planet with the same amount of respect. Please report any questions, concerns, or disruptive activity or behavior to the organizing team, so that we can address the issue immediately.