Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
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Updated
May 22, 2024 - Jupyter Notebook
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.
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
🐍 Materiály, Zdrojové Kódy, Prezentácie ku kurzom SAV Python, OOP, R, BI, Data Science
Platform for Big Data & AI
Lessons and practices of Udemy Python course
MONAI Tutorials
In this repo, my skills as a data scientist, exploring various data analysis, data preprocessing, and data visualization
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Estimate of Public Jupyter Notebooks on GitHub
Comparing centralised machine learning and federated learning using flower framework. Building a custom strategy over the base FedAvg called FedCustom which has a higher learning rate and several other hyper parameters to increase the accuracy.
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Material for MGMT 172 Data and Programming for Analytics. (Course)
Starter Code (R and Python) for all CSV data sets of opendata.swiss
Starter Code (R and Python) for all CSV data sets of Team Data Shop, Statistical Office, Canton Zurich
A deep learning model created to classify the movie reviews as positive or negative.
Raku package that generates JavaScript D3.js code for plots and charts.
Numerical Methods in SciPy
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 6 days ago