Best Practices on Recommendation Systems
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Updated
Aug 30, 2024 - Python
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Best Practices on Recommendation Systems
The interactive graphing library for Python ✨ This project now includes Plotly Express!
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Ready-to-run Docker images containing Jupyter applications
Multi-user server for Jupyter notebooks
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Voilà turns Jupyter notebooks into standalone web applications
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Convert Jupyter Notebooks to Web Apps
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Run your code in the cloud, with technology so advanced, it feels like magic!
nbconvert as a web service: Render Jupyter Notebooks as static web pages
nannyml: post-deployment data science in python
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Sound analysis/synthesis tools for music applications
Jupyter notebooks in the terminal
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 9 days ago