Final project for DS5220 (Supervised Learning). Project entailed predicting nightly US Airbnb prices using supervised learning techniques.
Data includes over 225,000 Airbnb listings and their labelled nightly prices. Pipelines included loading data, EDA, data cleaning and comparing various machine learning models (Linear Regression, KNN, Decision Tree, Random Forest and Multi-Layer Perceptron). Final results are summarized in ayers-project-report.pdf.
Data from Kaggle: https://www.kaggle.com/kritikseth/us-airbnb-open-data