Cleaning and preprocessing a City Crime Dataset, Applying Pandas, Numpy, RegEx and google maps api integration.
📒 At Allen you can find the Jupyter notebook in which the extracted data was processed and transformed, including the Google Maps API queries to obtaine the geolocalization of each ocurrencie.
📁 The project has the data separated in three folders:
- Raw (Given data)
- Processed (Transformed data)
- Cleaned (Ready to load and use)
With the result of the project we can apply:
- 🦹♂️ Data Analysis of the crime.
- 🤖 Apply Machine Learning Models for classification and prediction.