450h Data Scientist training - Collect and store large amounts of data - Build prediction models in Machine Learning and Deep Learning - Deploy your models in real conditions
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Updated
Oct 11, 2024 - Jupyter Notebook
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
450h Data Scientist training - Collect and store large amounts of data - Build prediction models in Machine Learning and Deep Learning - Deploy your models in real conditions
River data from Karup and Skjern å in Denmark
Simple data extract from the Strava API to generate some data points I'm interested in
WebGL2 powered visualization framework
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
matplotlib: plotting with Python
Excel project analyzing and visualizing pizza sales data
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Streamlit — A faster way to build and share data apps.
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
🔥 人人可用的开源 BI 工具,Tableau、帆软的开源替代。
A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece.
WebApps in pure Python. No JavaScript, HTML and CSS needed
interactive force-directed graph layouts within RStudio
Book on Julia for Data Science
About Master the art of storytelling through data! This repository showcases high-quality code-generated data visualizations crafted to uncover the hidden stories within data.
The House Price Prediction Model is a machine learning project aimed at predicting house prices based on various features such as location, size, number of rooms, and other relevant factors. This project utilizes regression techniques to provide accurate price estimates, assisting potential buyers and sellers in making informed decisions.
Created by Charles Joseph Minard