DataTalks.Club is an online community for data science professionals, ML engineers and AI practitioners. It offers free courses, weekly podcasts, webinars, workshops and book discussions, along with articles, a Slack group and a weekly newsletter. Events and podcast episodes cover topics such as machine learning, AI platforms and LLM engineering.
Data Visualization Ai Excel Togetherai E2b
Data Visualization Ai Excel Togetherai E2b is a Hugging Face Space created by user Akshayram1. It allows users to upload CSV datasets, ask questions about the data, and receive AI-generated analysis and corresponding visualizations in response.
Links
Tags
-
0DataTalks.Club is an online community for data science professionals, ML engineers and AI practitioners. It offers free courses, weekly podcasts, webinars, workshops and book discussions, along with articles, a Slack group and a weekly newsletter. Events and podcast episodes cover topics such as machine learning, AI platforms and LLM engineering.
-
0RAWGraphs is a free and open source tool for data visualization. It is a web app that offers almost 30 visual models to visualize quantities, hierarchies and time series. Data inserted is processed only by the web browser, and projects can be saved or exported as vector or raster images.
-
0
An R package that creates interactive Leaflet maps using the Leaflet JavaScript library and htmlwidgets. Maps can be used from the R console, RStudio, Shiny applications and R Markdown documents. It is linked to the open-source Leaflet JavaScript library for interactive maps.
-
0
quanteda is an R package for managing and analyzing text, described as a fast, flexible, and comprehensive framework for quantitative text analysis in R. It provides functionality for corpus management, tokens and n-grams, keywords in context, sparse matrices, content dictionaries, and supervised and unsupervised machine learning.
-
0Handbook and recipes for data-driven solutions of real-world problems.
-
0OpenMetadata is an open-source AI context layer powered by metadata, semantics, and memory that provides a shared, rich understanding of data for people and AI. It was built by the founders of Apache Hadoop, Apache Atlas, and Uber Databook. The unified platform supports data cataloging, discovery, quality, observability, governance, lineage, and collaboration.
Community notes
Reviews and discussion
No reviews yet
Be the first to share how this project worked for you.
Join the discussion
Sign in with a verified account to leave a review or join the discussion.
Sign in to review