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:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A library for debugging/inspecting machine learning classifiers and explaining their predictions
:bar_chart: The statistical analysis tool for git repositories
Variable Inspector extension for Jupyterlab
Offen Fair Web Analytics
General Modeling Network Specification
PolyForce is the project started as an idea with a motive create polymer applications/components that derive data from Salesforce, The idea create a robust set of polymer components that can mutually be shared with each other and on the other hand provide a working sample for developers to learn and get inspired to built more components
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.