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shashankgogula/opioid_mortality
Using Python, AWS, Jupyter notebook, pandas, numpy, scikit-learn, xgboost, matplotlib, seaborn, and other packages, performed data wrangling, data storytelling, exploratory data analysis, and in-depth analysis and predictions for 2016 US county level opioid overdose mortality rate using algorithms such as random forest, stochastic gradient boosting, LASSO, ridge regression, and multiple linear regression.
Jupyter Notebook