programa
Científico de machine learning in R
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Probar DataCamp for BusinessPreferido por estudiantes en miles de empresas
Descripción de la pista
Científico de machine learning in R
Prerrequisitos
No hay requisitos previos para esta pistaCourse
En este curso aprenderás los fundamentos del aprendizaje automático para clasificación.
Course
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
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Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
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This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
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Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
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Aprende a realizar regresión lineal y logística con múltiples variables explicativas.
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Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.
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This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
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Learn to streamline your machine learning workflows with tidymodels.
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Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
Skill Assessment
SobresueldoMachine Learning Fundamentals in R
Course
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
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This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
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Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
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Learn how to tune your model's hyperparameters to get the best predictive results.
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Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Project
SobresueldoPredicting Movie Rental Durations
Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.
Course
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
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Inscríbete ahoraÚnete a más 15 millones de estudiantes y empezar Científico de machine learning in R ¡Hoy!
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Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.