Technology:

For this project, I used R and mainly the tidyverse packages such as dplyr, purrr, and ggplot2. I also used the Rcpp library to seamlessly integrate my C++ function in R.

I also implemented this project in Python and used libraries such as numpy, scikit-learn, and pandas.

This was an in-class Kaggle competition, where I finished first place. The goal was to predict missing values in five columns of a time-series data set. My solution is based on identifying for which missing values in the data set I can use linear interpolation and for which values I have to use a machine-learning algorithm.

• Link to GitHub.