ml-project-group-3/cleaned_merged_feature_engineered

这是一个航班数据集，包含航班延误时间、出发地、目的地、总运营次数等信息。数据集还记录了出发地和目的地的天气状况，以及与时间相关的特征。此外，数据集中还包含了不同航空公司的运营信息。数据集被分为训练集，共有大约3400万个样本。

This is an airline dataset containing flight delay times, departure and destination locations, total number of operations, and other information. The dataset also records the weather conditions at the departure and destination, as well as time-related features. In addition, the dataset includes operation information for different airlines. The dataset is divided into a training set with approximately 34 million samples.