DL-Simplified
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Airlines Delay Prediction using DL
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Airlines Delay Prediction :red_circle: Aim : Airlines Delay Prediction is a machine learning project aimed at predicting flight delays. By predicting potential delays, airlines can manage their schedules better and passengers can plan their travels more efficiently. :red_circle: Dataset : It includes historical flight data with features such as departure time, arrival time, weather conditions, and other relevant factors. :red_circle: Approach : The project uses several machine learning models to predict flight delays, including:
Linear Regression Decision Trees Random Forest Gradient Boosting Neural Networks
📍 Follow the Guidelines to Contribute in the Project :
- You need to create a separate folder named as the Project Title.
- Inside that folder, there will be four main components.
- Images - To store the required images.
- Dataset - To store the dataset or, information/source about the dataset.
- Model - To store the machine learning model you've created using the dataset.
requirements.txt- This file will contain the required packages/libraries to run the project in other machines.
- Inside the
Modelfolder, theREADME.mdfile must be filled up properly, with proper visualizations and conclusions.
:red_circle::yellow_circle: Points to Note :
- The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
- "Issue Title" and "PR Title should be the same. Include issue number along with it.
- Follow Contributing Guidelines & Code of Conduct before start Contributing.
:white_check_mark: To be Mentioned while taking the issue :
- Full name : Ananya Gupta
- GitHub Profile Link : https://github.com/ananyag309
- Approach for this Project :
- What is your participant role? (Mention the Open Source program) GSSOC
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊
Machine learning models will not here, can you update your approach with some deep learning architectures and come up again. @ananyag309
Hi @ananyag309 , I have tried the project you can see it once . for linear regression, the results are quite low. have tried svm and gradient boost. code.pdf Airlines_Dataset.csv
Hi @ananyag309 , I have tried the project you can see it once . for linear regression, the results are quite low. have tried svm and gradient boost. code.pdf Airlines_Dataset.csv
This repository mainly focuses on deep learning models, hence you need to go with the deep learning models not with the machine learning ones.
ok.