Flight Delay Time Prediction

[Sai-ganesh-0004]

Is your feature request related to a problem? Please describe.
Flight delay between two airports is very inauspicious for passengers and airlines because their connections can be late or even no connection at all. This may also increase the operational costs and reduce customer satisfaction. If the time delay between two airports could be predictable, then this would optimize the planning, resource management, and overall delivery in operation. Mechanism to predict delay times does not exist with the project based on historical data between two airports.

Mention what you would like to propose
I will make a machine learning model to predict the time span of flight delay between two airports. The model will be based on a variety of features including, but not limited to, flight schedules, airline, weather conditions, and so on. It should encompass data preprocessing, model training, evaluation and deployment in an automated pipeline.

**Mention alternatives that you have considered.
One alternative could be to use a rule-based system where the delivery time is predicted based on predefined rules and thresholds. However, this approach lacks the flexibility and accuracy of machine learning models.

Optional Approach

• Data preprocessing includes handling missing values and feature engineering.
• Training models such as Random Forest, Gradient Boosting, or Neural Networks for delay time prediction.
• Fine-tune the model using cross-validation and hyperparameter tuning.

Additional context
The model shall enable airlines to optimize their operations, make better resource allocations, and give passengers the possibility of receiving real-time updates about expected delays. This can be harnessed for better management directly into the existing pipeline.

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