A package for time series data processing, classification, clustering, and prediction.

Another curated list of Python frameworks

Data workflows for the numer.ai machine learning competition

Build your own data presentation using SQL and multiple data sources including big data. The most flexible and powerful low-code data workflow loved by developers.

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

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.

Analysis of public data of San Francisco Tree implantation to identify the story behind the facts and numbers using Tableau , Power BI for visualization and Alteryx for data preparation and blending data for analytics and load into GCP bucket

数据工作流工具包 - 提供数据处理工作流和管道功能

This project is about building a Data Lakehouse on AWS to analyse the impact of global warming on Australia, specifically focusing on temperature anomalies and natural disaster occurrences.

A Google Apps Script and Google Sheets based operational system designed to manage beneficiary intake, eligibility validation, annual databases, blacklist governance, historical tracking, dashboarding, and fair selection workflows in a social support context.

Folder for creating hydro-conditioned Prairie watershed datasets.

This is where we keep all of the code for the data wrangling, processing, and QA/QC we do on our routinely collected data and samples. Examples include calculating epi temps, thermocline depths, light extinction coefficients, and QA/QC on chem lab data.

Python module for hydro conditioning Prairie watersheds.