Application of Machine Learning in Predicting Flight Delays Using Weather Data Analysis

1. Introduction 1.1 Background and Motivation 1.2 Research Objectives 1.3 Structure of the Study 2. Literature Review 2.1 Overview of Machine Learning 2.2 Weather Data in Aviation 2.3 Previous Studies on Flight Delays 3. Methodology 3.1 Data Collection and Sources 3.2 Preprocessing of Weather Data 3.3 Machine Learning Techniques Employed 4. Feature Selection 4.1 Importance of Feature Selection 4.2 Techniques for Feature Selection 4.3 Impact on Model Performance 5. Model Development 5.1 Model Selection Criteria 5.2 Training and Testing Methods 5.3 Evaluation Metrics for Models 6. Results and Discussion 6.1 Prediction Accuracy 6.2 Analysis of Results 6.3 Comparison with Existing Methods 7. Challenges and Limitations 7.1 Data Quality Issues 7.2 Model Limitations 7.3 Computational Challenges 8. Conclusion and Future Work 8.1 Summary of Findings 8.2 Implications for Aviation Industry 8.3 Directions for Future Research