Using Facebook's Prophet time series model to provide a forecast of hourly energy consumption in the US.

Using Python to fit and tune hyperparameters to predict Edmonton housing values.

Using Keras (tensorflow) to train and tune a neural network to predict popularity of the 2000 most popular songs from 2000 to 2022.

Using R to compare a univariate and bivariate model of aggregate investment

Using Python to access the Spotify API and compare 3 machine learning models to predict song popularity.

Using R to Construct and compare 3 machine learning models of IBM employee attrition.

Using R to create a logit model to predict whether a stock increases or decreases in price tomorrow

Constructed dataset of 10,000 Edmonton housing values and their characteristics; used for machine learning.

Using R to create an ARMA model to forecast monthly Canadian GDP to the end of 2021