6 datasets found
  1. laptop cleaned data

    • kaggle.com
    Updated Nov 22, 2023
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    Linuso7 (2023). laptop cleaned data [Dataset]. https://www.kaggle.com/datasets/linuso7/laptop-cleaned-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Linuso7
    Description

    Laptop cleaned data note - can remove gpu name because it can't be categorized column but give useful info because price can vary because of dedicated gpu like nvidia or intel integrated gpu and amd readeon gpu these can be categorized in these three.

  2. RAPIDS

    • kaggle.com
    Updated Jun 29, 2021
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    Chris Deotte (2021). RAPIDS [Dataset]. https://www.kaggle.com/cdeotte/rapids/tasks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 29, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Chris Deotte
    Description

    Use this dataset to install RAPIDS in Kaggle notebooks. Installation takes 1 minute. Add the following lines of code to your notebook and turn GPU on. Change rapids.21.06 below to the version desired. (Currently v21.06, v0.19, v0.18 and v0.17 are available).

    import sys
    !cp ../input/rapids/rapids.21.06 /opt/conda/envs/rapids.tar.gz
    !cd /opt/conda/envs/ && tar -xzvf rapids.tar.gz > /dev/null
    sys.path = ["/opt/conda/envs/rapids/lib/python3.7/site-packages"] + sys.path
    sys.path = ["/opt/conda/envs/rapids/lib/python3.7"] + sys.path
    sys.path = ["/opt/conda/envs/rapids/lib"] + sys.path 
    !cp /opt/conda/envs/rapids/lib/libxgboost.so /opt/conda/lib/
    

    Read more about RAPIDS here. The RAPIDS libraries allow us to perform all our data science on GPUs including reading data, transforming data, modeling, validation, and prediction. The package cuDF provides Pandas functionality and cuML provides Scikit-learn functionality. Other packages provide additional tools.

    Since GPUs are faster than CPUs, we save time, save money, and can increase model accuracy by performing additional tasks like hyperparameter searches, feature engineering and selection, data augmentation, and ensembling with bagging and boosting.

  3. GPU Programming - Matrix Multiplication Results

    • kaggle.com
    zip
    Updated May 11, 2020
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    Rasyid Gatrawijaya (2020). GPU Programming - Matrix Multiplication Results [Dataset]. https://www.kaggle.com/mrasyidg/gpu-programming-matrix-multiplication-results
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    zip(2609 bytes)Available download formats
    Dataset updated
    May 11, 2020
    Authors
    Rasyid Gatrawijaya
    Description

    Matrix Multiplication Results (with GPU)

    At first release, all data are still raw.

  4. NVidia - Stock Data - Latest and Updated

    • kaggle.com
    Updated Feb 2, 2025
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    Kalilur Rahman (2025). NVidia - Stock Data - Latest and Updated [Dataset]. https://www.kaggle.com/datasets/kalilurrahman/nvidia-stock-data-latest-and-updated/versions/167
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 2, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Kalilur Rahman
    License

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

    Description

    https://upload.wikimedia.org/wikipedia/en/thumb/a/a4/NVIDIA_logo.svg/731px-NVIDIA_logo.svg.png" alt="NVidia">

    • Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California.

    • It designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market.

    • Its primary GPU line, labeled "GeForce", is in direct competition with the GPUs of the "Radeon" brand by Advanced Micro Devices (AMD). Nvidia expanded its presence in the gaming industry with its handheld game consoles Shield Portable, Shield Tablet, and Shield Android TV and its cloud gaming service GeForce Now.

    • Its professional line of GPUs are used in workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design.

    • In addition to GPU manufacturing, Nvidia provides an application programming interface (API) called CUDA that allows the creation of massively parallel programs which utilize GPUs.They are deployed in supercomputing sites around the world. More recently, it has moved into the mobile computing market, where it produces Tegra mobile processors for smartphones and tablets as well as vehicle navigation and entertainment systems.It recently acquired ARM

    # Let us analyze the performance of this solid star!

  5. AMD Stock Prices Historical Data

    • kaggle.com
    Updated Apr 20, 2021
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    Fahíl Farkhshatov (2021). AMD Stock Prices Historical Data [Dataset]. https://www.kaggle.com/tosinabase/amd-stock-prices-historical-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 20, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Fahíl Farkhshatov
    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

    Advanced Micro Devices, Inc. operates as a semiconductor company worldwide. The company operates in two segments, Computing and Graphics; and Enterprise, Embedded and Semi-Custom. Its products include x86 microprocessors as an accelerated processing unit, chipsets, discrete and integrated graphics processing units (GPUs), data center and professional GPUs, and development services; and server and embedded processors, and semi-custom System-on-Chip (SoC) products, development services, and technology for game consoles. The company provides x86 microprocessors for desktop PCs under the AMD Ryzen, AMD Ryzen PRO, Ryzen, Threadripper, AMD A-Series, AMD FX, AMD Athlon, AMD Athlon PRO, and AMD Pro A-Series processors brands; microprocessors for notebook and 2-in-1s under the AMD Ryzen processors with Radeon Vega GPUs, AMD A-Series, AMD Athlon, AMD Ryzen PRO, and AMD Pro A-Series processors brands; microprocessors for servers under the AMD EPYC and AMD Opteron brands; and chipsets under the AMD trademark. It also offers discrete GPUs for desktop and notebook PCs under the AMD Radeon graphics and AMD Embedded Radeon brands; professional graphics products under the AMD Radeon Pro and AMD FirePro graphics brands; and Radeon Instinct accelerators for servers. In addition, the company provides embedded processor solutions for interactive digital signage, casino gaming, and medical imaging under the AMD Opteron, AMD Athlon, AMD Geode, AMD Ryzen, AMD EPYC, AMD R-Series, and G-Series processors brands; and customer-specific solutions based on AMD CPU, GPU, and multi-media technologies, as well as semi-custom SoC products. It serves original equipment and design manufacturers, datacenters, original design manufacturers, system integrators, independent distributors, online retailers, and add-in-board manufacturers through its direct sales force, independent distributors, and sales representatives. The company was founded in 1969 and is headquartered in Santa Clara, California.

    Content

    What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

    import yfinance as yf 
    df = yf.download(tickers="AMD") 
    df.to_csv('AMD.csv')
    

    Acknowledgements

    This data collected with one line code using yahoo finance and yfinance library.

  6. Nvidia Stock Price (All Time)

    • kaggle.com
    zip
    Updated Sep 23, 2021
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    Kannan Ravinther (2021). Nvidia Stock Price (All Time) [Dataset]. https://www.kaggle.com/kannan1314/nvidia-stock-price-all-time
    Explore at:
    zip(121557 bytes)Available download formats
    Dataset updated
    Sep 23, 2021
    Authors
    Kannan Ravinther
    License

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

    Description

    Company Description

    NVIDIA Corp. engages in the design and manufacture of computer graphics processors, chipsets, and related multimedia software. It operates through the following segments: Graphics Processing Unit (GPU), Tegra Processor, and All Other. The GPU segment comprises of product brands, which aims specialized markets including GeForce for gamers; Quadro for designers; Tesla and DGX for AI data scientists and big data researchers; and GRID for cloud-based visual computing users. The Tegra Processor segment integrates an entire computer onto a single chip, and incorporates GPUs and multi-core CPUs to drive supercomputing for autonomous robots, drones, and cars, as well as for consoles and mobile gaming and entertainment devices. The All Other segment refers to the stock-based compensation expense, corporate infrastructure and support costs, acquisition-related costs, legal settlement costs, and other non-recurring charges. The company was founded by Jen Hsun Huang, Chris A. Malachowsky, and Curtis R. Priem in January 1993 and is headquartered in Santa Clara, CA.

    Contact Information

    NVIDIA Corp. 2788 San Tomas Expressway Santa Clara California 95051 P:(408) 486-2000 www.nvidia.com

    Shareholders

    Mutual fund holders 39.32% Other institutional 30.89% Individual stakeholders 3.75%

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Linuso7 (2023). laptop cleaned data [Dataset]. https://www.kaggle.com/datasets/linuso7/laptop-cleaned-data
Organization logo

laptop cleaned data

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Nov 22, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Linuso7
Description

Laptop cleaned data note - can remove gpu name because it can't be categorized column but give useful info because price can vary because of dedicated gpu like nvidia or intel integrated gpu and amd readeon gpu these can be categorized in these three.

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