Automated Machine Learning

Made Simple for You

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mljar-demo

How does it work?

Step 1. Upload your training dataset.

Dataset should be in CSV format.

Step 1 dataset upload

Step 2. Select features.

Choose which columns will be used for Machine Learning model training.

Step 2 select features

Step 3. Select ML algorithms

Start Machine Learning experiment by selecting algorithms and tuning options.

Step 3 start ml experiment

Step 4. Your ML models are ready!

Use your ML models in user interface or by REST API or locally by downloading them.

Step 4 ml models ready

mljar features:

beautiful and simple interface, build ML without coding

one interface for many Machine Learning algorithms

built-in hyper-parameters search

train multiple ML models in parallel

full reproducibility and history of your ML projects

deploy models in the cloud or download and use locally

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