R Caret Alternatives
R Caret is described as 'The caret package (short for _C_lassification _A_nd _RE_gression _T_raining) is a set of functions that attempt to streamline the process for creating predictive models. data splitting pre-processing feature selection model tuning using resampling' and is an app. There are more than 10 alternatives to R Caret for a variety of platforms, including Windows, Linux, Online / Web-based, Mac and R (programming language). The best alternative is R MLstudio, which is both free and Open Source. Other great apps like R Caret are datarobot, R mlr, python auto-sklearn and ML.NET.
- Free Personal • Open Source
- Mac
- Windows
- Linux
- R (programming language)
R MLstudio
Do you think this is a good alternative?YesNo- Free • Open Source
10 alternatives to R MLstudio- Mac
- Windows
- Linux
- Self-Hosted
- R (programming language)
The ML Studio is interactive for EDA, statistical modeling and machine learning applications. Based on Shiny, with Plotly interactive data visualization, DT HTML tables and H2O machine learning and deep. data science pipeline workflow.
R MLstudio Features
datarobot
Do you think this is a good alternative?YesNo- Paid • Proprietary
24 alternatives to datarobot- Online
- Self-Hosted
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models. Learn how you can become an AI-driven enterprise today.
R mlr
Do you think this is a good alternative?YesNo- Free Personal • Open Source
7 alternatives to R mlr- Mac
- Windows
- Linux
- R (programming language)
mlr provides this so that you can focus on your experiments! The framework provides supervised methods like classification, regression and survival analysis along with their corresponding evaluation and optimization methods, as well as unsupervised methods like clustering.
python auto-sklearn
Do you think this is a good alternative?YesNo- Free • Open Source
9 alternatives to python auto-sklearn- Mac
- Windows
- Linux
- Python
auto-sklearn is an automated machine learning toolkit. frees a machine learning user from algorithm selection and hyperparameter tuning. Bayesian optimization, meta-learning and ensemble construction.
ML.NET
Do you think this is a good alternative?YesNo- Free • Open Source
8 alternatives to ML.NET- Windows
- Linux
Machine Learning framework by Microsoft in .net framework and C#.
Aureo.io
Do you think this is a good alternative?YesNo11 alternatives to Aureo.io- Freemium • Proprietary
- Online
Aureo.io is a revolutionary low-code platform that focuses on building artificial intelligence. It provides users with the capability to create pipelines, automations and integrate them with artificial intelligence models – all with their basic data.
Aureo.io Features
H2O.ai
Do you think this is a good alternative?YesNo- Free • Open Source
18 alternatives to H2O.ai- Mac
- Windows
- Linux
- Java
H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that allows you to build machine learning models on big data and provides easy productionalization of those models in enterprise env.
Actian
Do you think this is a good alternative?YesNo17 alternatives to Actian- Paid • Proprietary
- Big-Data Analytics Tools Tool
- Online
Actian transforms Big Data into business value for any organization? Not just those with considerable resources. Actian provides transformational business value by delivering actionable insights into new sources of revenue, business opportunities, and ways of mitigating risk...
Actian Features
prevision.io
Do you think this is a good alternative?YesNo5 alternatives to prevision.io- Paid • Proprietary
- Online
"Predict, intelligently manage, interpret behaviors, automate, Prevision.io brings artificial intelligence into your business at an affordable cost and unparalleled performance."
AdvancedMiner
Do you think this is a good alternative?YesNo- Freemium • Proprietary
20 alternatives to AdvancedMiner- Windows
- Linux
Analytical software suite supporting the complete range of tasks involved with data processing, construction of Data Mining models, advanced data analysis and reporting.
AdvancedMiner Features