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Share Jupyter Notebooks

Mercury is a web framework for converting Python Notebooks into interactive web applications.

MLJAR AutoML is a Python package for Automated Machine Learning on tabular data.

Easily try many ML algorithms: Baseline, Linear, Random Forest, Extra Trees, LightGBM, Xgboost, CatBoost, Neural Networks, and Nearest Neighbors
Build ensembles and stack models for best performance
Advanced automatic feature preprocessing and engineering
Extensive explanations and analysis for each model
Automatic documentation in Markdown and HTML formats
Works for binary/multi classification and regression tasks

The course how to build SaaS web application from scratch with React and Django.

During the course you build a real life web application for server uptime monitoring
Machine Learning is used for anomaly detection in server response time, so you can detect server failures before they occur
User Interface is created with React and TypeScript
Backend is created with Django and Python. Background tasks are computed with Celery framework

Deploy Machine Learning Models with Django web framework. It our free course that shows you how to put ML models on the internet.

Step-by-step tutorial in Python, you have access to full code to build and deploy your own ML service
Train your first ML models, use Jupyter Notebook to learn Random Forest and Extra Trees classifiers
Build prediction endpoints for multiple ML models, track models versions
Run A/B testing between new ML models and select the best performing one

We can help you! We offer custom software development services.

Please contact us to check if we have available time slot.

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