Airline Flight Delay Predictive Analysis

Machine Learning model to estimate Airline Flight Delays, using E.D.A. and Linear Regression techniques on flights datasets to predict flights delays with improved precision.

🚀 Technologies Used:

• Python.
• Pandas.
• NumPy.
• Sci-kit learn.
• XGBoost.
• Seaborn.
• Jupyter Notebook.

📊 Project Highlights:

• Exploratory data analysis on flights trends.
• Development and tuning of regression models for delay prediction.
• Evaluation of model performance and predictive accuracy.

📂 Files

• Flight_delay.csv — raw data flights dataset.
• Airline_Flight_Delay_Predictive_Analysis.ipynb — Jupyter Notebook.

▶️ How to View & Run:

Click in whaterver Jupyter Notebook in this repository that you want to see (recommended for non-technical people).

📄 License

MIT License

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