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MLJAR, Inc.

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16 reseñas
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Calificación promedio de estrellas
4.4
Atendiendo a clientes desde
2016
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MLJAR, Inc. Reviews

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Akash G.
AG
Akash G.
Software Developer I at Tata Consultancy Services
07/28/2022
Revisor validado
Fuente de la revisión: Invitación de G2
Revisión incentivada

MLJAR REVIEW

MLJAR is one of the best python packages I have used so far for machine learning. The software is easy to install and very useful for developing new modules. Training the model on multiple algorithms is easy really on it, and the output is usually accurate and it hence saves tons of time in training and rerunning the model with different datasets in case of error.
Siddharth D.
SD
Siddharth D.
Student at CDAC-Acts Pune PG-DAI
07/26/2022
Revisor validado
Fuente de la revisión: Invitación de G2
Revisión incentivada

Great and easy to understand an alternative to AutoML

The AutoML feature is very easy to use and has similar syntax as sklearn module and report after it explained very nicely. Although I am new to AutML I have used H2O but this is much easier as it has much simpler syntax and the results are better than sklearn and slighly better than H20.
Prince N.
PN
Prince N.
FinOps Intern at Arcesium (D.E. Shaw Group) || PGDM at IMI New Delhi || Ex - TCS
07/26/2022
Revisor validado
Fuente de la revisión: Invitación de G2
Revisión incentivada
Traducido Usando IA

Experiencia del usuario y opiniones sobre MLJAR.

El tiempo ahorrado al usar aplicaciones automáticas de ML y la capacidad del apilamiento de modelos para construir sistemas de ML más precisos. Actúa como una mejora para los científicos de datos existentes.

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HQ Location:
Łapy, PL

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Año de fundación
2016