Machine Learning with R | Machine Learning with caret

Learn how the R and Caret package can help to implement some of the most common tasks of the data science project lifecycle. The R programming language is experiencing rapid increases in popularity and wide adoption across industries. This popularity is due, in part, to R’s huge collection of open-source machine-learning algorithms. If you are a data scientist working with R, the caret package (short for Classification And Regression Training) is a must-have tool in your tool belt. The caret package provides capabilities that are ubiquitous in all stages of the data science project lifecycle. Most important of all, Caret provides a common interface for training, tuning, and evaluating more than 200 machine learning algorithms. Not surprisingly, caret is a surefire way to accelerate your velocity as a data scientist!

In this presentation, we will provide an introduction to the caret package. The focus of the presentation will be using caret to implement some of the most common tasks of the data science project lifecycle and to illustrate incorporating caret into your daily work.

Attendees will learn how to:

• Create stratified random samples of data useful for training machine learning models.
• Train machine learning models using caret’s common interface.
• Leverage caret’s powerful features for cross-validation and hyperparameter tuning.
• Scale caret via the use of multi-core, parallel training.
• Increase their knowledge of caret’s many features.

R code and accompanying dataset:
https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Introduction%20to%20Machine%20Learning%20with%20R%20and%20Caret

caret website:
http://topepo.github.io/caret/index.html

Table of Contents:
0:00 – Intro
3:24 – Motivation
5:07 – Expectation setting
9:23 – The data
11:57 – Caret
1:18:46 – Resources

—

For more captivating community talks featuring renowned speakers, check out this playlist: https://youtube.com/playlist?list=PL8eNk_zTBST-EBv2LDSW9Wx_V4Gy5OPFT

—

At Data Science Dojo, we believe data science is for everyone. Our data science trainings have been attended by more than 10,000 employees from over 2,500 companies globally, including many leaders in tech like Microsoft, Google, and Facebook. For more information please visit: https://hubs.la/Q01Z-13k0

💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0

💼 Get started in the world of data with our top-rated data science bootcamp: https://hubs.la/Q01ZZDpt0

💼 Master Python for data science, analytics, machine learning, and data engineering: https://hubs.la/Q01ZZD-s0

💼 Explore, analyze, and visualize your data with Power BI desktop: https://hubs.la/Q01ZZF8B0

—

Unleash your data science potential for FREE! Dive into our tutorials, events & courses today!

📚 Learn the essentials of data science and analytics with our data science tutorials: https://hubs.la/Q01ZZJJK0

📚 Stay ahead of the curve with the latest data science content, subscribe to our newsletter now: https://hubs.la/Q01ZZBy10

📚 Connect with other data scientists and AI professionals at our community events: https://hubs.la/Q01ZZLd80

📚 Checkout our free data science courses: https://hubs.la/Q01ZZMcm0

📚 Get your daily dose of data science with our trending blogs: https://hubs.la/Q01ZZMWl0

—

📱 Social media links

Connect with us: https://www.linkedin.com/company/data-science-dojo

Follow us: https://twitter.com/DataScienceDojo

Keep up with us: https://www.instagram.com/data_science_dojo/

Like us: https://www.facebook.com/datasciencedojo

Find us: https://www.threads.net/@data_science_dojo

—

Also, join our communities:

LinkedIn: https://www.linkedin.com/groups/13601597/

Twitter: https://twitter.com/i/communities/1677363761399865344

Facebook: https://www.facebook.com/groups/AIandMachineLearningforEveryone/

Vimeo: https://vimeo.com/datasciencedojo

Discord: https://discord.com/invite/tj8ken4Err

_

Want to share your data science knowledge? Boost your profile and share your knowledge with our community: https://hubs.la/Q01ZZNCn0

#machinelearning #rprogramming #caret

source