Push Up - Research R-1400-02 in Ostadkar Research Lab. in the field of Fulfillment Process Optimization
Push Up is a part of research series in Fulfillment Process Optimization, conducted and directed in Ostadkar Research Lab. It represents an AI-driven approach to increase the efficacy of order fulfillment in a two-sided marketplace.
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The file data/Cleaning_data_extracted-r1400-02_B.csv contains the order progression data for housecleaning services.
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The file src/grid_search.R contains the code used to optimize the parameters of xgboost model.
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The file src/trial_error_improve_feature_selection.R contains the codes for trial/error based optimization of the xgboost model derrived based on the grid search results.
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The file data/feature_selection_log.txt contains the log of feature selection algorithm.
NOTE: This is an ongoing research and the codes and documentation will be changed periodically.