This is the GitHub repository for Fall21 Kaggle Competition for CS671 at Duke University. Competition info and Airbnb Availability Data.
Check out our project Write-up and Final Submission.
- 1_Data - Raw/Cleaned Data and Sample Submission File
- 2_Model - Predictive Models: GDBoost; Logistic; Naive Bayes.
- 3_EDA & Visualization - Graphs and File for Exploratory Data Analysis
- 3_Submission - All Submission Files
[1] XGBoost parameters. XGBoost Parameters - xgboost 1.6.0-dev documentation. (n.d.). Retrieved December 5, 2021, from https://xgboost.readthedocs.io/en/latest/parameter.html.
[2] Jerry Friedman. "Greedy function approximation: A gradient boosting machine". 1999.
[3] XGBoost parameters. XGBoost Parameters - xgboost 1.6.0-dev documentation. (n.d.). Retrieved December 5, 2021, from https://xgboost.readthedocs.io/en/latest/parameter.html.