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.

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