New-York-Yellow-Taxi-Data-Analysis-and-ML-Project 🚕

This repository hold all the code, data and figures for the analysis and machine learning code of the New York Yellow Taxi Dataset

This project is accompanied with a blog post on my website that goes through the analysis and the results it can be found here 📖

Project architecture: 📐

├── Data
│   ├── Data Description      <- Contains the PDF for the data dictionary with explanation for each column (not all though).
│   └── Pre-processed Data    <- CSV files of the sampled and cleaned data (train and test).
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│
├── Figures                   <- Generated graphics and figures to be used in reporting. Segmented by the different questions addressed
│
├── Source Code               <- Jupyter notebooks for the project segmented by the project phase (collection, cleaning, exploration, etc.) 
│   ├── Presentation Notebook <- This notebook is for presenting the finding using the RISE Jupyter extension more on it on the Readme file in this directory 
│   └── rf_model              <- Random Forest model for predicting the pickup density
│   
└── G02 E-Above Arebi.pdf     <- PDF file for the project presentation