Food Delivery prediction

This project show how to create, model and choose a better ML model for predict food delivery.

Table of Contents

• Food Delivery prediction
• Table of Contents
• Layout
• Quickstart
• Usage
• Development
• License

Layout

The project has the next layout:

Credit_score_project/
│
├── data/
│   ├── food_delivery.csv
│
├── notebooks/
│   ├── train_test_notebook.ipynb
│
├── src/
│   ├── feature_engineer.py
│   ├── feature_selection.py
│   ├── metrics.py
│
├── .gitignore
├── LICENSE
├── requirements.txt
├── requirements-dev.txt
└── README.md

Quickstart

For run the project is necessary use a python enviroment. You might use the below code:

pip install -r requeriments-dev.txt

After, install the requeriments of projects

pip install -r requeriments.txt

Then, run the jupyter notebbok train_test_notebook.ipynb in there, you can train, the two ML avaible and can add others.

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Usage

This notebook can usaged like a example for create new different models which try to solve the regression prediction problem.

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Development

This project has developed using the folling libaries

• pandas
• numpy
• sklearn
• matplotlib
• math

The ML model used in this project are:

• XGBRegressor
• LSTM
• LinearRegression
• RandomForestRegressor

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License

MIT license has used. (Back to top)