Applying Machine Learning to predict CO2 emission of vehicles
- The full dataset used is found in 'CO2 Emissions_Canada.csv'
- There is a description for the data in 'Data Description.csv'
- Preparation of the data and training of the model is in 'Regression_IsaacOluwafemiOgunniyi.ipynb'
- co2_predictor.pkl is the serialised model for predicting co2 emission rates
- The train.csv and test.csv files are created for use in the streamlit app, app.py
- batch_test.csv contains sample data for batch test mode