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https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier
Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.
https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier
bagging-classifier machine-learning matplotlib numpy python scikit-learn
Last synced: about 1 month ago
JSON representation
Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.
- Host: GitHub
- URL: https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier
- Owner: spamfromaditya
- Created: 2024-05-14T04:33:23.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-05-14T04:56:08.000Z (7 months ago)
- Last Synced: 2024-05-14T05:42:53.995Z (7 months ago)
- Topics: bagging-classifier, machine-learning, matplotlib, numpy, python, scikit-learn
- Language: Jupyter Notebook
- Homepage: https://en.wikipedia.org/wiki/List_of_countries_by_prevalence_of_opiates_use
- Size: 6.68 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0