GitHub - jieliang/prioritizing_shelter_animals_for_adoption: Python code using supervised learning to prioritize shelter animals by their probability of getting adopted to maximize the rate of adoption.

clean_animal_services_data.ipynb : cleans animal services data
clean_animal_services_data_save_to_database.ipynb : saves cleaned animal services data as a table named animal_services in aws postgres database
clean_economic_index_data.ipynb : cleans economic data and saves it as a table named economic_index in aws postgres database
clean_expenditures_data.ipynb : cleans animal services department expenditure data and saves it as a table named expenses in aws postgres database

model_selection.ipynb : joins tables in database as clean data for modelling; tries different models and selects winner based on metrics
model_evaluation.ipynb : plots and compares roc curves of finalists and winner from model selection

files for creating web based app that takes in user input and returns prediction using selected model

generate_template_for_flask_api.ipynb : generates a template filled with some default values for api.py in flask directory to use

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
flask		flask
README.md		README.md
clean_animal_services_data.ipynb		clean_animal_services_data.ipynb
clean_animal_services_data_save_to_database.ipynb		clean_animal_services_data_save_to_database.ipynb
clean_economic_index_data.ipynb		clean_economic_index_data.ipynb
clean_expenditures_data.ipynb		clean_expenditures_data.ipynb
generate_template_for_flask_api.ipynb		generate_template_for_flask_api.ipynb
model_evaluation.ipynb		model_evaluation.ipynb
model_selection.ipynb		model_selection.ipynb
prioritizing_shelter_animals_for_adoption_slides.pdf		prioritizing_shelter_animals_for_adoption_slides.pdf