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Enter in the webapp folder
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run the command to install all the python librarires pip install -r requirements.txt
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run the command python app.py
The app starts running on localhost:5000
- Download the dataset for the link that we put down in README file of data folder
- In flights_prediction_regression_1.ipynb, change the values at line
df2 = df1.loc[0:1500]
for any number of rows that you want. Small sets are recommended for avoiding memory error and saving time. - Follow the steps in the notebook to select features and turn features into dense matrix.
- Train model and test for accuracy.