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https://github.com/riju18/bangladesh_malnourished_child_identification
According to WHO(world health organization) survey in 2014, the dataset contains nourished and malnourished child information (under 5). The job is to find out whether a child is malnourished or not when a new data will come applying machine learning algorithm.
https://github.com/riju18/bangladesh_malnourished_child_identification
anaconda artificial-neural-network backward-elimination jupyter-notebook machine-learning-algorithms python3
Last synced: about 2 months ago
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According to WHO(world health organization) survey in 2014, the dataset contains nourished and malnourished child information (under 5). The job is to find out whether a child is malnourished or not when a new data will come applying machine learning algorithm.
- Host: GitHub
- URL: https://github.com/riju18/bangladesh_malnourished_child_identification
- Owner: riju18
- Created: 2019-04-20T08:45:00.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-10-10T20:29:33.000Z (over 5 years ago)
- Last Synced: 2023-04-07T13:05:19.350Z (almost 2 years ago)
- Topics: anaconda, artificial-neural-network, backward-elimination, jupyter-notebook, machine-learning-algorithms, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 855 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0