Code accompanying this blog.
The repo contains all the python notebooks, and sample data. The full data can be downloaded from the following sources:
Airline Data: http://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=236 Weather Data: https://www.ncdc.noaa.gov
- Part 1: EDA.ipynb - Clean and prepare the dataset, and make data visualizations
- Part 2: Bokeh_interactive_plots.ipynb - Create plots with bokeh
- Part 3: Join_weather_data.ipynb - Merge weather data with the airline data
- Part 4: fit_model.ipynb - Create and fit the ML model
- Part 5: predict_mean_weather.ipynb - Predict with mean weather