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MLJAR

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

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Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
03/31/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

MLJAR for ML on Tabular data

How it can ease up the process of machine learning on a tabular data
Mukul T.
MT
Mukul T.
Founder-Agrifox Smart Solutions PVT LTD
03/30/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Easiest package tool for PYTHON BASED ML

The way that auto ML works by managing data in tabular forms which improves efficiency in available hardware configurations
SG
ShriRam g.
C++|| Java|| Data Structure and Algorithms
03/29/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

One of the best python package for machine learning

The best thing about MLJAR is that even the one having less or no programming background can even use it. It is easily sharebale and saves the development time of the developers. Also python notebooks can be converted to the the interactive web apps.

About

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HQ Location:
Łapy, PL

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@MLJARofficial

Simple Data Science with Python, No-Code, and AI

MLJAR Studio is a desktop application for data science that combines Python, no-code tools, and AI in a single environment. It allows users to load data, explore it, build machine learning models with AutoML, and create reports without complex setup or configuration. The platform is designed to simplify the entire data workflow — from raw data to insights — making it accessible for both beginners and experienced users. MLJAR Studio includes a built-in AI agent that assists with code generation, data analysis, and workflow automation directly inside notebooks. Key features: - Desktop app with no setup required - Python and no-code interface in one tool - Built-in AutoML for fast model training - AI agent for code and data analysis - Interactive reports and visualizations MLJAR Studio focuses on usability, speed, and reducing the complexity of working with data.

Details

Year Founded
2016
Ownership
Private
Website
www.mljar.com