DRUG RELATED DEATHS ANALYSIS

This project utilizes coding techniques to analyze a dataset spanning from 1990 to 2019, focusing on deaths attributed to drug disorders across various countries

Sugarscape
Project Overview This project utilizes Python for analyzing drug-related deaths, employing descriptive statistics, logistic regression, and regression analysis. It focuses on understanding demographic disparities in drug use disorder rates among various age groups, genders.
Tools Used
Python
numpy
pandas
seaborn
matplotlib
sklearn
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