A Multiple Linear Regression model was built for Canadian Border wait time estimation using CBSA Data.
Items covered in the project:
- Data acquisition - Test set - CBSA Dataset 2015 & 2016 and training set - Training set - CBSA Dataset 2017
- Data cleaning
- Feature extraction/ Dummy variable creation from categorical variables
- Exploratory data analysis
- Model fitness tests
- User friendly function to provide estimated wait times, according to the inputs provided by the user
Tools used:
- Python - Pandas, Numpy, Matplotlib, Sklearn
Other tools used:
- Markdown
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