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water quality dataset github water consumption dataset  (Kaggle Inc)

 
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    Structured Review

    Kaggle Inc water quality dataset github water consumption dataset
    Research flow diagram using Global Water Consumption (2000–2024) <t>dataset.</t>
    Water Quality Dataset Github Water Consumption Dataset, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/github/consumption+dataset+global+water/pmc13172418-12-6-5
    Average 86 stars, based on 1 article reviews
    water quality dataset github water consumption dataset - by Bioz Stars, 2026-09
    86/100 stars

    Images

    1) Product Images from "Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model"

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model

    Journal: Scientific Reports

    doi: 10.1038/s41598-026-44885-8

    Research flow diagram using Global Water Consumption (2000–2024) dataset.
    Figure Legend Snippet: Research flow diagram using Global Water Consumption (2000–2024) dataset.

    Techniques Used:

    Split of the GWC dataset into 80% training, 10% validation and 10% testing.
    Figure Legend Snippet: Split of the GWC dataset into 80% training, 10% validation and 10% testing.

    Techniques Used: Biomarker Discovery

    Bi-GRU model predictions of TWC on the test dataset.
    Figure Legend Snippet: Bi-GRU model predictions of TWC on the test dataset.

    Techniques Used:

    Bi-GRU model predictions of AWU on the test dataset.
    Figure Legend Snippet: Bi-GRU model predictions of AWU on the test dataset.

    Techniques Used:

    Error comparison of DL models on the GWC (2000–2024) dataset.
    Figure Legend Snippet: Error comparison of DL models on the GWC (2000–2024) dataset.

    Techniques Used: Comparison

    Related Articles

    other:

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model.
    Article Snippet: Rustam et al. [20] proposed an ANN model for forecasting water usage and water quality using the Kaggle Water Quality Dataset and GitHub Water Consumption Dataset achieving an R2 of 0.99 and the integrity of water (0.96 accuracy) outperforming other models with a Nash–Sutcliffe coefficient of 0.98.

    Article Title: A hybrid bio-inspired model for predicting urban air pollution using deep learning.
    Article Snippet: The global urban air quality index dataset used in this research was obtained from the Kaggle and was collected from https:// www.kaggle.com/datasets/syedmtalhahasan/global-urban-air-quality-index-dataset-2015-2025, which is a public link.

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model.
    Article Snippet: [20], 2022 ANN Kaggle Water Quality Dataset & GitHub Water Consumption Dataset _ R2=0.997 The exclusive focus on the volume of water consumed over a specific period.

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model.
    Article Snippet: For this investigation, we utilize the Global Water Consumption Dataset (2000-2024) for global economies shortly named as GWC which is available on Kaggle [36].

    Article Title: Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model
    Article Snippet: For this investigation, we utilize the Global Water Consumption Dataset (2000–2024) for global economies shortly named as GWC which is available on Kaggle .



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