The POI data in the vicinity of each station were collected through the Google Places API. K-means clustering method was employed to classify the bikeshare stations into five categories. Then, the ...

Abstract: A continuing mystery in understanding the empirical success of deep neural networks is their ability to achieve zero training error and generalize well ...

I analyze employee survey data to identify turnover drivers and build predictive models, including multiple logistic regression, decision trees, and random forests, to forecast attrition and support ...

Predicts ICU patient survival using clinical and demographic features with logistic regression, decision trees, LASSO, and AIC-based model selection in R. Designed for healthcare decision-making with ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the ...