The aim of this project is to summarize the exploratory data analysis and data modelling performed on the flights dataset. There are three files-csv file of the flights data, python notebook detailing the analysis and modelling and a report which draws insights and makes suitable assumptions/conclusions on the results obtained in the notebook. The python file will act as a supporting document for this report. The dataset consists of domestic flight details from 2015.
KhushiBhadange/Regression-Model-Flight-Dataset
Explore predictive modeling with this repository, featuring regression-based models applied to a comprehensive dataset on flight delays and cancellations. Gain insights into factors influencing air travel disruptions and leverage regression techniques to enhance predictions.
Jupyter Notebook