TicketSwap Interview Project

This project contains 4 problems. Your code doesn't need to run, but it should be clear how it would be run. Please use Python syntax. The questions are contained in the questions.ipynb file located in this directory. You'll need to load up the notebook to see the questions. It's assumed you have python installed on your system. Information about submission is at the end of this document and included in the email you received with the link to this repository.

Tip

No prior experience in the domain is necessary. The purpose of the questions is to evaluate your problem-solving abilities and your capacity to research and adapt. You are welcome to use any resources at your disposal to assist in answering the questions. However, you should not seek help from others, submit code that is not your own creation, or directly copy and paste content from the internet or GPT. Should you have any inquiries about the project, please do not hesitate to contact us.

Project Structure

│
├── src                       <- Source folder
│   ├── etl.py                <- ETL functions
│   └── gradientboost.py      <- Model object
│
├── cli.py                    <- The starting point for the fraud model.
│
├── questions.ipynb           <- Main notebook with questions. Place your answers here.
│
└── readme.md                 <- This file.

You can ignore the other files as they're not relevant to the project.

Installing JupyterLab

JupyterLab can be installed using pip, Python’s package manager. To install JupyterLab, open your terminal and run:

pip install jupyterlab

or if you are using conda, you can install JupyterLab with:

conda install -c conda-forge jupyterlab

Cloning the repository

To clone the repository, open your terminal, navigate to the directory where you want to store the project, and run:

git clone git@github.com:TicketSwap/MLE_Interview.git

or if you are using HTTPS:

git clone https://github.com/TicketSwap/MLE_Interview.git

Inside the directory a folder called MLE_Interview will be created. Navigate to this folder to find the questions.ipynb. Next you can start Jupyter Lab or run the notebook from VSCode.

Running JupyterLab

First make sure you are in the directory where the questions.ipynb file is located. You can start JupyterLab by running the following command in your terminal:

jupyter lab

OPTIONAL: Running Notebook from VSCode

If you are using VSCode, you can install the extension Jupyter by Microsoft. Once installed, you can open the questions.ipynb file and run the notebook from there.

Submitting your work

Your work should be submitted by attaching the questions.ipynb file to the email linked with this repository.

Caution

Ensure the file is saved before sending it. Please do not include any additional files or compress the file using rar, zip, or tar formats.