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MLJAR, Inc.

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16 avis
  • 1 profils
  • 1 catégories
Note moyenne des étoiles
4.4
Au service des clients depuis
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
Évaluateur validé
Source de l'avis : Invitation G2
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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
Évaluateur validé
Source de l'avis : Invitation G2
Avis incitatif

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
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Source de l'avis : Invitation G2
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Expérience utilisateur et avis sur MLJAR

Le temps économisé grâce à l'utilisation d'une application de ML automatique et la capacité de l'empilement de modèles à construire des systèmes de ML plus précis. Cela agit comme une amélioration pour les data scientists existants.

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HQ Location:
Łapy, PL

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@MLJARofficial

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Année de fondation
2016