GitHub - camilleruppli/APMAE4990project

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
AdaBoost.ipynb		AdaBoost.ipynb
Feature analysis.ipynb		Feature analysis.ipynb
FinalModel.ipynb		FinalModel.ipynb
Linear Models and K Neighbor Regressor.ipynb		Linear Models and K Neighbor Regressor.ipynb
NYC Taxi Travel Time Prediction.pdf		NYC Taxi Travel Time Prediction.pdf
README.txt		README.txt
RandomForest.ipynb		RandomForest.ipynb
TestData.zip		TestData.zip
Testing Set Dataframe.ipynb		Testing Set Dataframe.ipynb
predictions_final.csv		predictions_final.csv
xgboost.ipynb		xgboost.ipynb

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README for APMAE4990 Final Project by Diana Mojahed, Camille Ruppli and Pawan Lapborisuth
- The ipynb files should be read in the following order
  1. Feature processing.ipynb, authors : all
  2. Feature analysis.ipynb, author : Camille Ruppli
  3. Linear Models and K Neighbor Regressor.ipynb, author : Pawan Lapborisuth
  4. AdaBoost.ipynb, author : Camille Ruppli
  5. XGBoost.ipynb, author : Camille Ruppli
  6. RandomForest.ipynb, author : Diana Mojahed
  7. Testing Set Dataframe.ipynb, author : Pawan Lapborisuth
  8. FinalModel.ipynb, author : Diana Mojahed
- The supplemental files include
  1. TestData.zip - which includes the following
    1. APM4990_final_test_data_filtered.csv
  2. predictions_final.csv
- The final prediction result is saved in the predictions_final.csv file under the column titled "predictions ».