Time series forecasting is an important technique that is widely used in business settings such as stock and sales. In this project, I’ll use a powerful tool, the autoregressive integrated moving average (ARIMA) model, to forecast the Walmart sales data.
In this blog piece, I am going to discuss my learnings from the Leetcode algorithm questions using Python as the tool.
mlr is one of my favorite R machine learning packages. Here I wrote a walk-through of the package to help myself and hopefully be of some help to folks out there as well!
I created a shiny app so that we can explore the patterns in Medicare Part D drug prescription, with a focus on opioids. Fatal drug overdose pattern was also included.
I created a R Markdown report on the patterns in Medicare Part D drug prescription, with a focus on opioids. Fatal drug overdose pattern was also included.
I participated in the Zillow Kaggle project with Jason King and JoAnn Alvarez.
I analyzed this dataset on Kaggle to gain a bird’s eye view of bird strikes.
I participated in the 5th Annual Vanderbilt Three Minute Thesis (3MT) Competition and made it to the final round, during which I presented on my thesis work.
We developed and evaluated the Vanderbilt Bird Expertise Test using Item Response Theory, and modeled the mechanisms of individual differences in visual categorization.
We quantified holistic processing in faces with different configural information, used R and Matlab.