Engineering and Technology
Learn to streamline your machine learning workflows with tidymodels.
Tidymodels is a comprehensive collection of R packages that aims to enhance the efficiency of machine learning workflows. This suite equips users with the ability to effectively partition datasets for cross-validation, preprocess data using the recipe package, and optimize machine learning algorithms. By engaging with Tidymodels, individuals will gain a deep understanding of fundamental concepts like model object definition and modeling workflow creation. Furthermore, they will have the opportunity to apply these acquired skills to predict housing prices and classify employees based on their likelihood of attrition within an organization.
by DataCamp
Learn to streamline your machine learning workflows with tidymodels.
by DataCamp
Discover different types in data modeling, including for prediction, and learn how to conduct linear...
by DataCamp
In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.
by DataCamp
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types...
by DataCamp
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression...
by DataCamp
Learn how to create and assess measurement models used to confirm the structure of a scale or questi...
by DataCamp
Understand the fundamentals of Machine Learning and how it's applied in the business world.
by DataCamp
Learn to analyze and model customer choice data in R.
by DataCamp
Explore the concepts and applications of linear models with python and build models to describe, pre...
by DataCamp
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and...