puerto-rico-billboard-dataset

<b>Data and Code of Puerto Rico Billboard's Dataset:</b><b>bMedia_BigTabe.csv</b> is the raw dataset which was a result of integrating data from various sources to generate billboard profiles in QGIS.<b>Vairables Description</b> csv file provides the description of each variable in the raw dataset.<b>Puerto Rico Billboard Dataset Code.ipynb</b> is jupyter notebook that covers: EDA, data cleaning, and preprocessing, then performing ML models (Random Forest, Dicision Tee, and Gradient Boosting). The models evauation processs is via repeated 10 folds CV 10 for 10 times and the performance metrics used are: MAE, RMSE, and R2.<b>bMedia_CleanedData.csv</b> is the cleaned dataset that can be used in further research. Using this dataset Gradient Boosting achaieved R²= 76% confidence in predictions the billboard rental monthy rental price The full analysis, visualization, and ML were implemented in Python and hosted on GitHub for reproducability:<br>https://github.com/nadern87/puerto-rico-billboard-dataset