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GitHub / SayamAlt / Water-Quality-Prediction

Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SayamAlt%2FWater-Quality-Prediction
PURL: pkg:github/SayamAlt/Water-Quality-Prediction

Stars: 8
Forks: 2
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 7 MB
Dependencies parsed at: Pending

Created at: about 3 years ago
Updated at: 6 months ago
Pushed at: about 3 years ago
Last synced at: 4 months ago

Topics: classification-models, data-visualization, exploratory-data-analysis, feature-engineering, imbalanced-learning, model-deployment, outlier-treatment, supervised-machine-learning

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