Python-Based Machine Learning: A Study in Predictive Analytics

Ticket price analysis for ski resort seeking an increase in ROI through a potential price hike and insight into the beneficent effects of a recent investment on company performance. Results of random-forest model indicated ticket prices could be increased by over 30%. Addressed research questions using internal company data and external data from comparable resorts. Workflow consisted of data wrangling, exploratory data analysis, preprocessing, and modelling. Technologies used included Python, Pandas, Scikit-Learn, NumPy, Seaborn, Matplotlib, Jupyter.