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Fundamentos de aprendizado de máquina em R

Aprenda os conceitos básicos de previsão usando o aprendizado de máquina. Esse curso abrange a previsão de respostas categóricas e numéricas por meio de classificação e regressão e a descoberta da estrutura oculta dos conjuntos de dados (aprendizado não supervisionado). Saiba como processar dados para modelagem, como treinar seus modelos, como visualizar seus modelos e avaliar seu desempenho, e como ajustar seus parâmetros para obter melhor desempenho.

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Amado por alunos de milhares de empresas

1
R
Supervised Learning in R: Classification

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

4 hours

Brett Lantz Headshot

Brett Lantz

Senior Data Scientist at Sony PlayStation

2
R
Supervised Learning in R: Regression

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

4 hours

Nina Zumel Headshot

Nina Zumel

Co-founder, Principal Consultant at Win-Vector, LLC

3
R
Unsupervised Learning in R

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

4 hours

Hank Roark Headshot

Hank Roark

Senior Data Scientist, Boeing

4
R
Machine Learning with caret in R

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

4 hours

Zachary Deane-Mayer Headshot

Zachary Deane-Mayer

VP, Data Science at DataRobot

5
R
Modeling with tidymodels in R

Learn to streamline your machine learning workflows with tidymodels.

4 hours

David Svancer Headshot

David Svancer

Data Scientist

6
R
Machine Learning with Tree-Based Models in R

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

4 hours

Sandro Raabe Headshot

Sandro Raabe

Data Scientist

7
R
Machine Learning Fundamentals in R
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