- Conducted exploratory data analysis on a dataset with information about League of Legends competitive matches
- Cleaned missing data and analyzed missingness dependencies
- Performed a hypothesis test with 0.05 significance level
- Toolkit: pandas, numpy, plotly

- Trained a machine learning algorithm to predict the result of a competitive LoL match
- Designed a baseline model and final model to compare improvements in performance
- Created *sklearn* pipeline for feature engineering and grid search to find optimal parameters for a DecisionTreeClassifier <<<<<<< HEAD
- Plotted a confusion matrix and conducted fairness analysis to test consistency between classes =======
- Plotted a confusion matrix and conducted fairness analysis to test consistency between classes
- Toolkit: pandas, numpy, scikit-learn, matplotlib >>>>>>> parent of de06df7 (md to html)