✈️ Flight Arrival Delay Prediction with Apache Spark – v1.0.0
This release contains the initial stable version of the project.
Included:
- Jupyter notebook (
project.ipynb) with full ML pipeline:- Data preprocessing, feature engineering, model training, evaluation
- Trained model stored in
best_model/ - Spark application (
app.py) for model testing on unseen data - Documentation report (
Documentation_Report.pdf) detailing methods & results - Requirements file (
requirements.txt) with pinned dependencies - README with usage instructions and project overview
Key Results:
- RMSE, MAE, R², 15-min accuracy, and severe delay accuracy included in evaluation
- Demonstrates scalable flight delay prediction using Spark MLlib