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yelp-challenge

Machine Learning For City: Yelp Data Analysis

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β”œβ”€β”€ LICENSE
β”œβ”€β”€ README.md
β”œβ”€β”€ data_all_cities
β”‚Β Β  β”œβ”€β”€ README.md
β”‚Β Β  └── all_cities_preprocess.ipynb
β”œβ”€β”€ data_processeing
β”‚Β Β  β”œβ”€β”€ 1.1-Yelp_business_category_table.ipynb
β”‚Β Β  └── README.md
β”œβ”€β”€ data_urbana_champaign
β”‚Β Β  β”œβ”€β”€ README.md
β”‚Β Β  β”œβ”€β”€ UC01_Data_PreProcess_Uurbana_Champaign.ipynb
β”‚Β Β  β”œβ”€β”€ UC01_df_uc_open.p
β”‚Β Β  β”œβ”€β”€ UC02_FilterCat_TransformAtt.ipynb
β”‚Β Β  β”œβ”€β”€ UC02_df_uc_food_att.p
β”‚Β Β  β”œβ”€β”€ business_urbana_champaign.p
β”‚Β Β  β”œβ”€β”€ cat_food.txt
β”‚Β Β  β”œβ”€β”€ checkin_urbana_champaign.p
β”‚Β Β  β”œβ”€β”€ review_urbana_champaign.p
β”‚Β Β  └── tip_urbana_champaign.p
β”œβ”€β”€ database_SQLite
β”‚Β Β  β”œβ”€β”€ README.md
β”‚Β Β  └── YelpData_SQLite_script.py
β”œβ”€β”€ descriptive_stats
β”‚Β Β  └── descriptive_statistics.ipynb
└── requirements.txt

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