MLJAR Studio is a Python editor created to make Data Science and Machine Learning tasks easy.
Watch this comprehensive demo video that highlights all the key features of MLJAR Studio in action. Get a look at Interactive Code Recipes, AI Assistant, Variable Explorer and Packages Management.
Fully managed Python environment within MLJAR Studio’s desktop app.
Access curated code recipes tailored for Machine Learning projects.
Get help from an AI assistant for your data analysis and coding challenges.
Quickly inspect your workspace variables for efficient coding.
Install, update, and manage Python packages directly within your notebooks.
Leverage the power of an open source desktop app and vibrant community.
Learn how to build and train your first machine learning model using MLJAR Studio's AutoML platform. This tutorial covers the essential steps from data preparation to model training.
Discover advanced techniques for data analysis using ChatGPT and Python. This video demonstrates how to leverage AI to gain insights from your data.
Explore the integration of an AI assistant in creating interactive data visualizations. The tutorial guides you through best practices for effective visual storytelling.
Learn more about MLJAR Studio by visiting our comprehensive documentation.
Visit DocumentationGitHub RepositoryMLJAR Studio can be installed on Windows, MacOS, and Linux. Watch the video below for a step-by-step guide.
If you require help or support, please create a GitHub issue or drop us an email.
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