Improved Flight_delay_prediction_project

[FreeSpirit11]

To enhance the performance of the flight delay prediction model, I have made the following changes:

1. Implemented Advanced Models: Trained and evaluated models like Random Forest, Gradient Boosting, and LSTM.

2.Did Hyperparameter Tuning: Utilized GridSearchCV or RandomizedSearchCV to perform hyperparameter tuning for the selected models.

3.Evaluated Performance: Compared the performance of these models with the current Decision Tree model using appropriate metrics like ROC AUC score.

[FreeSpirit11]

Resolves #611 .

[FreeSpirit11]

Hi @invigorzz313 , this is not a level 1 task . Atleast mark it level 2 please.

[sudiptasarkar011]

i would like to work on this issue, can you please assign this to me?

[Niketkumardheeryan]

Hi @invigorzz313 , this is not a level 1 task . Atleast mark it level 2 please.

HI @FreeSpirit11 , I just reviewed your code and found that no null values handling, and no outliers handling , NO data analysis before using data, how can you saythat its a Level 2 work. And you define the levels ,we are here for that.

[FreeSpirit11]

Hi @Niketkumardheeryan ,As mentioned in the issue, my focus was specifically on implementing advanced models, hyperparameter tuning, and performance evaluation. These tasks were clearly required a good level of coding and understanding of the machine learning workflow.

Level 1 are the tasks which don't require coding or just require simple coding like null values handling. But still if you consider it a level 1 task then it's fine . :)

I understand the importance of comprehensive data preprocessing and analysis. If additional tasks such as handling missing values, outlier detection, or more detailed data analysis are required, I am more than willing to address these. However, having clear and specific requirements from the beginning would ensure that the project meets all expectations without any misunderstandings.