Overview Black Friday is the most significant retail shopping day in America and being able to plan strategy around attracting high-dollar buyers would be an important advantage for retailers in an increasingly competitive retail market. Using a Kaggle dataset and Alteryx, I created three predictive models for finding shoppers likely to spend more than $10,000 on their Black Friday shopping. Description of the Data The dataset for this project was obtained from Kaggle and uploaded into Alteryx. I used Alteryx to examine the data, looking for missing values or outliers. None were found in the data, and the data seemed to be very clean, so little to no cleaning the data was necessary. The dataset contained 537,577 records. Given the cleanliness of the data, I proceeded to explore the data. Model Selection I created multiple models in Alteryx, including boosted tree, decision tree, and neural network models. The model results are as follows: - ...