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This is my final capstone project for the Machine learning engineer nanodegree. For more details about this dataset, feel free to check https://www.kaggle.com/c/nyc-taxi-trip-duration
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helpers init repo May 12, 2019
01 - NYTaxi Capstone Project.ipynb init repo May 12, 2019
02 - Picking The Best Algorithm.ipynb
03 - Searching Hyperparameters.ipynb
README.md
proposal.pdf init repo May 12, 2019
report.pdf init repo May 12, 2019

README.md

New York City Taxi Trip Duration

This is my final capstone project for the Machine learning engineer nanodegree.

For more details about this dataset, feel free to check https://www.kaggle.com/c/nyc-taxi-trip-duration

Guideline

Make sure to check these 2 files first: proposal.pdf and report.pdf.

Proposal.pdf

The Hypothesis, project design and motivation.

Report.pdf

The process and result of this project.

01 - NYTaxi Capstone Project.ipynb

It is a core notebook. It has all code including exploratory data analysis, feature engineering and training machine learning model.

02 - Picking The Best Algorithm.ipynb and 03 - Searching Hyperparameters.ipynb

Both are the supporting notebooks for the 01 - NYTaxi Capstone Project.ipynb.

Python packages

  • numpy
  • pandas
  • matplotlib
  • seaborn
  • scikit-learn
  • holidays
  • haversine
  • xgboost
  • bayesian-optimization
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