Open ananyag309 opened 3 months ago
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.
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 :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎