Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
-
Updated
Dec 27, 2022 - Python
Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
A Python wrapper for GNU parallel that naturally embeds shell code into Python scripts or Jupyter notebooks (no delimiter hell). Features parameter substitution, environment substitution, and cross-product generation to eliminate shell loops. Perfect for integrating Unix programs into Python environments for bioinformatics and data science.
Refactor a typical data science notebook into a well-structured Kedro project, explore its core features and workflow and software engineering best practices.
Add a description, image, and links to the data-science-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the data-science-pipeline topic, visit your repo's landing page and select "manage topics."