CS205_Jump_Prediction

Health Analytics course @ UCLA - Predicting flight time

Dependencies for running lasso_predictor.py

• In order for this script to run smoothly make sure you are running python 3.xx

 pip3 install numpy pandas scikit-learn

• Make sure model.pkl is in the same library as the script
• Prepare a test.csv file according to the example in this folder
• Run the script using: 'python lasso_predictor.py test.csv'

Aditional dependencies for running the jump_regression.ipynb benchmark script

 pip3 install tensorflow seaborn ml_metrics matplotlib
 pip3 install jupyter 
 jupyter notebook

Open benchmarking script in notebook

Visit https://github.com/orpgol/CS205_Jump_Prediction in order to view the benchmarking process

Click jump_regression.md for a markdown view of the benchmarking process