This playground is a collection of notebooks that demonstrate how to use Elasticsearch.NET and NEST clients.
-
Updated
Nov 2, 2024 - Jupyter Notebook
This playground is a collection of notebooks that demonstrate how to use Elasticsearch.NET and NEST clients.
Criteria for decision-making in games against nature under uncertainty in form of Jupyter Notebook. Supports Wald's, Savage, Hurwicz, Hodges–Lehmann, Laplace, Maximum Expected Utility, Minimum Expected Regret criteria.
Research notebook for Machine Learning projects
Research notebook for Zero shot learning based image classification
This ipython notebook is the Exploratory data analysis (EDA) of the India GDP Rate 1960 to 2021.
Explore ML mini-projects with Jupyter notebooks. Discover predictive analysis for commercial sales, leveraging regression models such as linear regression, decision trees, random forests, lasso, ridge, and extra-trees regressor.
Bootcamp Data Analyst avec Python: Des bases de Python à l'analyse et visualisation de données pour l'extraction de connaissances et storytelling
Add a description, image, and links to the jyputer-notebook topic page so that developers can more easily learn about it.
To associate your repository with the jyputer-notebook topic, visit your repo's landing page and select "manage topics."