Data workflows for the numer.ai machine learning competition
-
Updated
Apr 25, 2019 - Python
Data workflows for the numer.ai machine learning competition
A simple end-to-end data workflow (preprocessing, modelling, visualisation) orchestrated using Prefect tasks and flows.
Bathymetry raw data processing to produce useful data products
A small Python data quality ETL starter for cleaning, validating, exporting, and reporting messy CSV, Excel, JSON, and mock API data.
OSINT Industries CSV Data Importer is an advanced and efficient tool designed to import data from CSV files into SQLite databases, ensuring data integrity by preventing duplicate entries.
Python toolkit for cleaning messy CSV and Excel files into analysis-ready outputs.
A local RedNote/Xiaohongshu content and creator discovery workbench with seed planning, discovery, enrichment, aggregation, and review workflows.
Local-first public-safe data-to-insight workflow agent with Streamlit dashboard and AgentHub-ready exports.
Folder for creating hydro-conditioned Prairie watershed datasets.
Python module for hydro conditioning Prairie watersheds.
To associate your repository with the data-workflow topic, visit your repo's landing page and select "manage topics."