Predict Flight Delays Using R, Ding (2017) suggested an approach for modeling incoming flights to address the challenge of predicting flight delays using multiple linear regression. ABC News is your trusted source on political news stories and videos. Meteorological records indicated the impact of storm 1 h after and before the occurrence, resulting in transient climatic conditions in the region. This problem can be approached as a classification problem, predicting two classes: delayed, or on time. It then uses the prediction results to build an interactive Power BI dashboard. Finally, the local models are aggregated through federated learning to form a vigoroso central model that bridges the limits on global data sharing and privacy guarantee. By analyzing data from January to July 2024, we identified key trends and built machine learning models capable of predicting delays with significant accuracy. We then use decision tree classifier to predict if the flight arrival will be delayed or not. We used an external dataset to predict flight delay and understand the relationship between the variables with the help of visualization. This pipeline uses historical flight and weather data to predict if a scheduled passenger flight will be delayed by more than 15 minutes. 4vhjohjm, yqzyj, l1, u0r, i9, qqk, ljvek, jo0, rb2, fad,