Flight Delay Prediction System - ZenML Update

A system made to predict flight delays using Machine Learning models.

Pre-requisite

Install the NYC Flights Dataset from Kaggle.
Kaggle Dataset Link

Installation

1. Create a virtual environment and activate it

python -m venv myenv
./myenv/Scripts/activate

2. Then install necessary external libraries mentioned below in terminal.

For StreamLit App

  pip install streamlit
  pip install joblib

or For Normal Execution

pip install -r requirements.txt
pip install "zenml[server]"
pip install scikit-learn

3. You can run the notebook from the notebooks directory or run python main.py.

4. To start the zenml dashboard locally on windows, write zenml up --blockingfor Windows and zenml up for Mac, and enter the Zenml Dashboard with username "default".

Features of the system

• Flight departure delay prediction
• Fast and effective
• User friendly UI using Streamlit

Screenshots