Fondamenti di apprendimento automatico in R

In this course you will learn the basics of machine learning for classification.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Help a fast food chain save money and place more accurate orders by building a model to predict food sales.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Learn to streamline your machine learning workflows with tidymodels.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.