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Comments (13)

github-actions avatar github-actions commented on July 3, 2024

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

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abhisheks008 avatar abhisheks008 commented on July 3, 2024

Already assigned to an issue.

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adi271001 avatar adi271001 commented on July 3, 2024

can you please assign this to me @abhisheks008

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abhisheks008 avatar abhisheks008 commented on July 3, 2024

can you please assign this to me @abhisheks008

Please mention your approach for solving this issue in a detailed manner.

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Pranshu-jais avatar Pranshu-jais commented on July 3, 2024

But sir can you assign this same issue to me .@abhisheks008

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adi271001 avatar adi271001 commented on July 3, 2024

can you please assign this to me @abhisheks008

Please mention your approach for solving this issue in a detailed manner.

my approach is to first clean the dataset , then apply 5-6 models 1. CNN 2. RNN 3. LSTM 4. GRU 5. TCN 6. ANN please assign it to me under gssoc 24

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abhisheks008 avatar abhisheks008 commented on July 3, 2024

Hi @Pranshu-jais you are already being assigned to an issue, complete that first, then you can take up other issues.

As you have opened this issue, if you want to work on this issue later on after completing the previous task, I'll lock this issue and will assign to you only.

Looking forward to hearing from you.

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Pranshu-jais avatar Pranshu-jais commented on July 3, 2024

ok , i will complete the previous issue first and then this issue

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adityasingh-0803 avatar adityasingh-0803 commented on July 3, 2024

@abhisheks008 kindly assign the issue to me under gssoc

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abhisheks008 avatar abhisheks008 commented on July 3, 2024

@abhisheks008 kindly assign the issue to me under gssoc

Can you please share your approach for solving this issue?

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adityasingh-0803 avatar adityasingh-0803 commented on July 3, 2024

using ml algorithms we can we will calculate the flight fare
Define Goals: Aim to build a web application where users can input travel details and get predicted flight fares.

Data Collection: Scrape flight data from websites or use publicly available datasets from airlines.

Preprocessing: Clean data, handle missing values, and transform features like dates into numerical formats.

Model Building: Choose a suitable ML algorithm (e.g., Random Forest), train it on historical data, and evaluate its accuracy.

Deployment: Develop a Flask web app where users input their travel details, use the trained model to predict fares, and display results.

Iterate: Refine the model based on user feedback and new data to improve accuracy over time.
Kindly check @abhisheks008

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Pranshu-jais avatar Pranshu-jais commented on July 3, 2024

@abhisheks008 kindly assign the issue to me under gssoc

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abhisheks008 avatar abhisheks008 commented on July 3, 2024

Complete your previously assigned issue first.

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