Structured machine learning project
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Updated
May 20, 2024 - HTML
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
Structured machine learning project
Scroll is a language for scientists of all ages. Scroll includes a command line app that builds static blogs, websites, CSVs, text files, and more.
Tracking outages for Puerto Rico's private electricity distributor with GitHub Actions.
This repository build to showcase a project on customer personality analysis. In this I have classified the customer into two clusters.
🌟 The Ultimate resources for beginner to advance level projects all at one place 💻 🎯🚀
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Trabajo práctico final de la materia "Algoritmos 1" de la Licenciatura en Ciencia de Datos (UNSAM). 1C-2024
DataOps Observability is part of DataKitchen's Open Source Data Observability. DataOps Observability monitors every data journey from data source to customer value, from any team development environment into production, across every tool, team, environment, and customer so that problems are detected, localized, and understood immediately.
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.
Open Source Feature Flagging and A/B Testing Platform
An orchestration platform for the development, production, and observation of data assets.
Always know what to expect from your data.
Future City Development: Data Management Platform
DataOps TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling, new dataset screening and hygiene review, algorithmic generation of data quality validation tests, ongoing testing of new data refreshes, & continuous data anomaly monitoring
Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.
Streamlit — A faster way to build and share data apps.
A toolkit for machine learning from time series