34 datasets found
  1. ExploRNA_input

    • kaggle.com
    zip
    Updated Jan 22, 2021
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    Fatih Ozturk (2021). ExploRNA_input [Dataset]. https://www.kaggle.com/fatihozturk/fixed-draw
    Explore at:
    zip(894773063 bytes)Available download formats
    Dataset updated
    Jan 22, 2021
    Authors
    Fatih Ozturk
    Description

    Dataset

    This dataset was created by Fatih Ozturk

    Contents

  2. pre_trained_roberta_base

    • kaggle.com
    zip
    Updated Jun 8, 2021
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    Justin Chae (2021). pre_trained_roberta_base [Dataset]. https://www.kaggle.com/justinchae/pre-trained-roberta-base
    Explore at:
    zip(303411165 bytes)Available download formats
    Dataset updated
    Jun 8, 2021
    Authors
    Justin Chae
    Description

    Dataset

    This dataset was created by Justin Chae

    Contents

  3. kaggle-severstal-kernel

    • kaggle.com
    Updated Oct 24, 2019
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    Maksim Filin (2019). kaggle-severstal-kernel [Dataset]. https://www.kaggle.com/datasets/xsardas/kaggleseverstalkernel/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 24, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Maksim Filin
    Description

    Dataset

    This dataset was created by Maksim Filin

    Contents

  4. Sign Language Kernel DATA

    • kaggle.com
    Updated Jul 26, 2019
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    Abhayjeet Singh (2019). Sign Language Kernel DATA [Dataset]. https://www.kaggle.com/datasets/abhay242/sign-language-kernel-data/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Abhayjeet Singh
    Description

    Dataset

    This dataset was created by Abhayjeet Singh

    Released under Data files © Original Authors

    Contents

  5. ml-basekernel-YML

    • kaggle.com
    zip
    Updated Oct 1, 2023
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    Markus Eicher (2023). ml-basekernel-YML [Dataset]. https://www.kaggle.com/datasets/markuseicher/ml-basekernel-yml/discussion
    Explore at:
    zip(3903 bytes)Available download formats
    Dataset updated
    Oct 1, 2023
    Authors
    Markus Eicher
    Description

    Dataset

    This dataset was created by Markus Eicher

    Contents

  6. torch-xla

    • kaggle.com
    zip
    Updated Mar 12, 2020
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    CPMP (2020). torch-xla [Dataset]. https://www.kaggle.com/datasets/cpmpml/torchxla
    Explore at:
    zip(207994233 bytes)Available download formats
    Dataset updated
    Mar 12, 2020
    Authors
    CPMP
    Description

    Dataset

    This dataset was created by CPMP

    Contents

  7. Public Kernel Results from Favorita Forecasting

    • kaggle.com
    zip
    Updated Dec 18, 2017
    + more versions
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    Lingzhi (2017). Public Kernel Results from Favorita Forecasting [Dataset]. https://www.kaggle.com/vrtjso/ensemble
    Explore at:
    zip(48778856 bytes)Available download formats
    Dataset updated
    Dec 18, 2017
    Authors
    Lingzhi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Lingzhi

    Released under CC0: Public Domain

    Contents

    It contains the following files:

  8. unet_characters_pictures

    • kaggle.com
    zip
    Updated Sep 13, 2019
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    Ruslan Baynazarov (2019). unet_characters_pictures [Dataset]. https://www.kaggle.com/datasets/hocop1/unet-characters-pictures
    Explore at:
    zip(346426 bytes)Available download formats
    Dataset updated
    Sep 13, 2019
    Authors
    Ruslan Baynazarov
    Description
  9. French_Motor_Claims_GLM_output

    • kaggle.com
    zip
    Updated Apr 20, 2020
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    A-Breeze (2020). French_Motor_Claims_GLM_output [Dataset]. https://www.kaggle.com/btw78jt/french-motor-claims-glm-output
    Explore at:
    zip(47965198 bytes)Available download formats
    Dataset updated
    Apr 20, 2020
    Authors
    A-Breeze
    Description

    Dataset

    This dataset was created by A-Breeze

    Contents

  10. Loan_Campaign_response

    • kaggle.com
    Updated Nov 10, 2018
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    DINESHMK (2018). Loan_Campaign_response [Dataset]. https://www.kaggle.com/dineshmk594/loan-campaign/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 10, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    DINESHMK
    Description

    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.

  11. images-ann-ibm

    • kaggle.com
    zip
    Updated Aug 4, 2018
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    Raj Mehrotra (2018). images-ann-ibm [Dataset]. https://www.kaggle.com/rajmehra03/imagesannibm
    Explore at:
    zip(10303 bytes)Available download formats
    Dataset updated
    Aug 4, 2018
    Authors
    Raj Mehrotra
    Description

    Dataset

    This dataset was created by Raj Mehrotra

    Contents

    It contains the following files:

  12. Satellite Imagery

    • kaggle.com
    zip
    Updated Jun 19, 2017
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    Prateek (2017). Satellite Imagery [Dataset]. https://www.kaggle.com/pjoshi15/satellite-imagery
    Explore at:
    zip(5250056 bytes)Available download formats
    Dataset updated
    Jun 19, 2017
    Authors
    Prateek
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Feel free to use this data.

    Thanks

  13. diffusiondb-filtered-80001-120000

    • kaggle.com
    zip
    Updated Mar 17, 2023
    + more versions
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    2 pieces of cold pizza (2023). diffusiondb-filtered-80001-120000 [Dataset]. https://www.kaggle.com/datasets/jeinsong/diffusiondb-filtered-80001-120000
    Explore at:
    zip(17799316410 bytes)Available download formats
    Dataset updated
    Mar 17, 2023
    Authors
    2 pieces of cold pizza
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by 2 pieces of cold pizza

    Released under CC0: Public Domain

    Contents

  14. Jigsaw TPU XLM-Roberta tokens 420d

    • kaggle.com
    zip
    Updated Apr 12, 2020
    + more versions
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    huiqin (2020). Jigsaw TPU XLM-Roberta tokens 420d [Dataset]. https://www.kaggle.com/qinhui1999/jigsaw-tpu-xlmroberta-tokens-420d
    Explore at:
    zip(112702369 bytes)Available download formats
    Dataset updated
    Apr 12, 2020
    Authors
    huiqin
    Description

    Dataset

    This dataset was created by huiqin

    Contents

  15. Output

    • kaggle.com
    zip
    Updated Jun 16, 2020
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    Daniel Will George (2020). Output [Dataset]. https://www.kaggle.com/danielwillgeorge/output
    Explore at:
    zip(9339 bytes)Available download formats
    Dataset updated
    Jun 16, 2020
    Authors
    Daniel Will George
    Description

    Dataset

    This dataset was created by Daniel Will George

    Contents

    It contains the following files:

  16. Genome Keras kernel Tensorflow

    • kaggle.com
    Updated Jul 8, 2023
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    NG NM WT (2023). Genome Keras kernel Tensorflow [Dataset]. https://www.kaggle.com/ngnmwt/genome-keras-kernel-tensorflow/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 8, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    NG NM WT
    Description

    Dataset

    This dataset was created by NG NM WT

    Contents

  17. NYC Open Data

    • kaggle.com
    zip
    Updated Mar 20, 2019
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    NYC Open Data (2019). NYC Open Data [Dataset]. https://www.kaggle.com/datasets/nycopendata/new-york
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    NYC Open Data
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    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/

    Content

    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.

    Acknowledgements

    https://opendata.cityofnewyork.us/

    https://cloud.google.com/blog/big-data/2017/01/new-york-city-public-datasets-now-available-on-google-bigquery

    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.

    Inspiration

    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

  18. World Bank: Education Data

    • kaggle.com
    zip
    Updated Mar 20, 2019
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    World Bank (2019). World Bank: Education Data [Dataset]. https://www.kaggle.com/datasets/theworldbank/world-bank-intl-education
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    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

    Content

    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.

    Acknowledgements

    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.

    Inspiration

    Of total government spending, what percentage is spent on education?

  19. testing499Adata

    • kaggle.com
    Updated Jan 25, 2020
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    Nayeem Mohammad (2020). testing499Adata [Dataset]. https://www.kaggle.com/initiated/testing499adata/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 25, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Nayeem Mohammad
    Description

    Dataset

    This dataset was created by Nayeem Mohammad

    Contents

  20. Open Images

    • kaggle.com
    • opendatalab.com
    zip
    Updated Feb 12, 2019
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    Google BigQuery (2019). Open Images [Dataset]. https://www.kaggle.com/bigquery/open-images
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Feb 12, 2019
    Dataset provided by
    BigQueryhttps://cloud.google.com/bigquery
    Authors
    Google BigQuery
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    Context

    Labeled datasets are useful in machine learning research.

    Content

    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

    Querying BigQuery Tables

    Fork this kernel to get started.

    Acknowledgements

    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.

    Inspiration

    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?

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Fatih Ozturk (2021). ExploRNA_input [Dataset]. https://www.kaggle.com/fatihozturk/fixed-draw
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ExploRNA_input

Required files to be able to run ExploRNA app on a kaggle kernel.

Explore at:
zip(894773063 bytes)Available download formats
Dataset updated
Jan 22, 2021
Authors
Fatih Ozturk
Description

Dataset

This dataset was created by Fatih Ozturk

Contents

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