Software
We've compiled a list of 8 free and paid alternatives to R MLstudio. The primary competitors include Rattle, BlueSky Statistics. In addition to these, users also draw comparisons between R MLstudio and H2O.ai, R Caret, R mlr. Also you can look at other similar options here: About.
We've compiled a list of 8 free and paid alternatives to R MLstudio. The primary competitors include Rattle, BlueSky Statistics. In addition to these, users also draw comparisons between R MLstudio and H2O.ai, R Caret, R mlr. Also you can look at other similar options here: About.
BlueSky Statistics is a fully featured statistics application and development framework built on...
H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive...
The caret package (short for _C_lassification _A_nd _RE_gression _T_raining) is a set of functions...
The ML Studio is interactive for EDA, statistical modeling and machine learning applications.
The ML Studio is interactive for EDA, statistical modeling and machine learning applications.
Linux
Mac
Windows
The ML Studio is an interactive platform for data visualization, statistical modeling and machine learning applications. Based on Shiny and shinydashboard interface, with Plotly interactive data visualization, DT HTML tables and H2O machine learning and deep learning algorithms. The ML Studio provides a set of tools for the data science pipeline workflow. More details available on the package vignette.
The ML Studio package
Currently available features:
Data Management -
Ability to load data from installed R package, R environment and/or csv file
Modify variables attributes
Data summary with dplyr functions
Interactive data visualization tool with the Plotly package, that include:
Scatter, line, histogram correlation, etc.
Time series plots – seasonality, correlation etc.
Machine learning and deep learning algorithms with the H2O package, currently only classification models available (Deep Learning, Random Forest, GBM, GLM)
Under construction features:
Machine learning -
In depth model summary
Ability to compare, select and save models
Regression models
The caret functions and models
H2O grid search and autoML
Deep learning applications with Keras
Time series and forecasting -
Tools for time series analysis
Forecasting models with the forecast package
Data visualization – extending the current functionality
Installation
The package is available for installation with the devtools package (if devetools package is not installed please use install.packages("devtools") to install it).
# Install the MLstudio
devtools::install_github("RamiKrispin/MLstudio")
Machine Learning
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