caret
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What is caret?
Caret (Classification and Regression Training) is a set of functions in R that attempt to streamline the process for creating predictive models. It includes tools for data splitting, pre-processing, feature selection, model tuning, and evaluation. It is commonly used for building and comparing machine learning models for classification and regression tasks.
What other technologies are related to caret?
caret Competitor Technologies
mlr
mlr is a comprehensive framework for machine learning in R, offering similar model training and evaluation capabilities as caret. It serves as an alternative to caret for many machine learning tasks.
H2O.ai
H2O.ai is an open-source machine learning platform. It is a competitor because it provides automated machine learning capabilities and a wide range of algorithms for model training and deployment, similar to caret.
caret Complementary Technologies
dplyr
dplyr is an R package for data manipulation. It is complementary to caret, as it can be used for data preprocessing before model training with caret.
ggplot2
ggplot2 is a popular R package for data visualization. It's complementary to caret, as it is often used to visualize model performance and results obtained from caret.
tidyverse
The tidyverse is a collection of R packages designed for data science. Caret integrates well within the tidyverse ecosystem, using tidy data principles and complementing packages like dplyr and ggplot2.
Number of organizations that mention technology
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Which job functions commonly mention caret?
Data Scientist
0.2% of all Data Scientist jobs mention caret
View 420
jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention caret
View 116
jobs on Sumble
Data, Analytics & Machine Learning
590 Data, Analytics & Machine Learning jobs mention caret
View 590
jobs on Sumble
Statistician
7 Statistician jobs mention caret
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jobs on Sumble
Solutions Architect
16 Solutions Architect jobs mention caret
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jobs on Sumble
Which organizations are mentioning caret?
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