I developed an end-to-end deep learning solution to predict Airbnb listing prices in New York City. The aim was to build a robust prediction system, a task typically undertaken by data scientists in the housing industry or municipal enforcement. The project was divided into three critical stages, each focusing on a key aspect of the deep learning pipeline, presenting a holistic approach to the application of deep learning.
ntcode12/Predicting_Airbnb_Prices_Deep_Learning
end-to-end deep learning solution to predict Airbnb listing prices in New York City
Jupyter NotebookMIT