This dataset was created by Fatih Ozturk
This dataset was created by Justin Chae
This dataset was created by Maksim Filin
This dataset was created by Abhayjeet Singh
Released under Data files © Original Authors
This dataset was created by Markus Eicher
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by Lingzhi
Released under CC0: Public Domain
It contains the following files:
Pictures for my kernel https://www.kaggle.com/hocop1/unet-character-detector
This dataset was created by A-Breeze
The Bank executed a campaign to cross-sell Personal Loans. As part of their Pilot Campaign, 20000 customers were sent campaigns through email, sms, and direct mail. They were given an offer of Personal Loan at an attractive interest rate of 12% and processing fee waived off if they respond within 1 Month. 2512 customer expressed their interest and are marked as Target = 1 Many Demographics and Behavioral variables provided. This data is obtained from Great learning class projects.
This dataset was created by Raj Mehrotra
It contains the following files:
http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
Feel free to use this data.
Thanks
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by 2 pieces of cold pizza
Released under CC0: Public Domain
This dataset was created by huiqin
This dataset was created by Daniel Will George
It contains the following files:
This dataset was created by NG NM WT
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
NYC Open Data is an opportunity to engage New Yorkers in the information that is produced and used by City government. We believe that every New Yorker can benefit from Open Data, and Open Data can benefit from every New Yorker. Source: https://opendata.cityofnewyork.us/overview/
Thanks to NYC Open Data, which makes public data generated by city agencies available for public use, and Citi Bike, we've incorporated over 150 GB of data in 5 open datasets into Google BigQuery Public Datasets, including:
Over 8 million 311 service requests from 2012-2016
More than 1 million motor vehicle collisions 2012-present
Citi Bike stations and 30 million Citi Bike trips 2013-present
Over 1 billion Yellow and Green Taxi rides from 2009-present
Over 500,000 sidewalk trees surveyed decennially in 1995, 2005, and 2015
This dataset is deprecated and not being updated.
Fork this kernel to get started with this dataset.
https://opendata.cityofnewyork.us/
This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - https://data.cityofnewyork.us/ - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
By accessing datasets and feeds available through NYC Open Data, the user agrees to all of the Terms of Use of NYC.gov as well as the Privacy Policy for NYC.gov. The user also agrees to any additional terms of use defined by the agencies, bureaus, and offices providing data. Public data sets made available on NYC Open Data are provided for informational purposes. The City does not warranty the completeness, accuracy, content, or fitness for any particular purpose or use of any public data set made available on NYC Open Data, nor are any such warranties to be implied or inferred with respect to the public data sets furnished therein.
The City is not liable for any deficiencies in the completeness, accuracy, content, or fitness for any particular purpose or use of any public data set, or application utilizing such data set, provided by any third party.
Banner Photo by @bicadmedia from Unplash.
On which New York City streets are you most likely to find a loud party?
Can you find the Virginia Pines in New York City?
Where was the only collision caused by an animal that injured a cyclist?
What’s the Citi Bike record for the Longest Distance in the Shortest Time (on a route with at least 100 rides)?
https://cloud.google.com/blog/big-data/2017/01/images/148467900588042/nyc-dataset-6.png" alt="enter image description here">
https://cloud.google.com/blog/big-data/2017/01/images/148467900588042/nyc-dataset-6.png
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank
This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access.
For more information, see the World Bank website.
Fork this kernel to get started with this dataset.
https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_health_population
http://data.worldbank.org/data-catalog/ed-stats
https://cloud.google.com/bigquery/public-data/world-bank-education
Citation: The World Bank: Education Statistics
Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
Banner Photo by @till_indeman from Unplash.
Of total government spending, what percentage is spent on education?
This dataset was created by Nayeem Mohammad
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
Labeled datasets are useful in machine learning research.
This public dataset contains approximately 9 million URLs and metadata for images that have been annotated with labels spanning more than 6,000 categories.
Tables: 1) annotations_bbox 2) dict 3) images 4) labels
Update Frequency: Quarterly
Fork this kernel to get started.
https://bigquery.cloud.google.com/dataset/bigquery-public-data:open_images
https://cloud.google.com/bigquery/public-data/openimages
APA-style citation: Google Research (2016). The Open Images dataset [Image urls and labels]. Available from github: https://github.com/openimages/dataset.
Use: The annotations are licensed by Google Inc. under CC BY 4.0 license.
The images referenced in the dataset are listed as having a CC BY 2.0 license. Note: while we tried to identify images that are licensed under a Creative Commons Attribution license, we make no representations or warranties regarding the license status of each image and you should verify the license for each image yourself.
Banner Photo by Mattias Diesel from Unsplash.
Which labels are in the dataset? Which labels have "bus" in their display names? How many images of a trolleybus are in the dataset? What are some landing pages of images with a trolleybus? Which images with cherries are in the training set?
This dataset was created by Fatih Ozturk