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MLJAR

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16 reviews
  • 1 profiles
  • 1 categories
Average star rating
4.4
Serving customers since
2016
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MLJAR Reviews

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Suraiya A.
SA
Suraiya A.
Information Security Analyst at Tata Consultancy Services
08/13/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Best Automated Machine Learning Platform for rapid devlopment and deployment.

MLJAR Supports a wide range of algorithms for classification along with support to a multitude of features for getting a better understanding of data through automated metric selection and feature engineering.
Pooja K.
PK
Pooja K.
Cyber Security Analyst at Ogma Consulting Pvt Ltd
08/06/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Went the extra mile

The main advantage of MLJAR is producing markdown reports from models training.
Kuldeep S.
KS
Kuldeep S.
Data Science | Machine Learning | Python | SQL | AWS
07/29/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

MLJAR - Data Science tools

easy to write code - a graphical interface for code generation, easy to reuse code as an application or scheduled task, easy to control version, easy to build applications with GUI, easy to test.

About

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HQ Location:
Łapy, PL

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@MLJARofficial

What is MLJAR?

MLJAR Inc. is a technology company that offers an advanced platform designed to simplify the process of creating, deploying, and managing machine learning models. Their website, https://www.mljar.com, serves as a portal where users from various industries such as finance, healthcare, and e-commerce can access the tools needed for automating machine learning workflows.MLJAR’s platform emphasizes user-friendliness, making it accessible for both beginners and experienced data scientists. It provides a suite of tools that enables users to build complex models through a user-friendly interface, without needing extensive programming knowledge. The platform supports various model training methods, including supervised and unsupervised learning, and it specializes in automating the process of selecting and tuning models to ensure the best possible performance.Key features of MLJAR's offering include automatic data preprocessing, feature engineering, model validation, and deployment capabilities. Whether the task involves regression, classification, or clustering, MLJAR strives to make machine learning more efficient and user-friendly, facilitating quicker decision-making and allowing firms to harness the power of AI more effectively.

Details

Year Founded
2016