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Recode-Hive / Stackoverflow-Analysis

Stack overflow is a professional community for developers. This repo analysis 3 years of developer Survey done by Stackoverflow and do visualization and predict the salary of Data Scientist in future.
https://stackoverflow-analysis.streamlit.app/
MIT License
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Adding Xgboost #98

Closed SwarnenduJUIT closed 1 day ago

SwarnenduJUIT commented 1 month ago

Is your feature request related to a problem? Please describe. XG boost algorithm might be helpful . XGboost is an boosting algorithm also known as EXTREME GRADIENT BOOSTING. It might be helpful and we can check the model accuracy to verify if it is more helpful than Random Forest or not.

Describe the solution you'd like We will implement XGboost algorithm and compare the accuracy with the other models especially Random forest.

Describe alternatives you've considered We can also move to Adaboost to check the accuracy for the model.

Additional context Boosting models can be really helpful in some cases.

What problem is this feature trying to solve? Helps to decide the best ml algorithm for the data.

How do we know when the feature is complete? We will compare the accuracy and present it in the file itself.

SwarnenduJUIT commented 1 month ago

@sanjay-kv assign me this issue and i will look forward to verify that if XGboost would be better option or not .

SwarnenduJUIT commented 1 month ago

@sanjay-kv and @okaditya84 i have asked for the pull request kindly check the code and merge it .

Pranali3103 commented 1 month ago

Hi @sanjay-kv ,c an you please assign me this issue !!

okaditya84 commented 1 month ago

Hi @sanjay-kv ,c an you please assign me this issue !!

The issue is already assigned. Please brainstorm another.

Shouryabhardwajj commented 1 month ago

I am interested in this issue. Please assign me this

github-actions[bot] commented 1 day ago

This issue has been automatically closed because it has been inactive for more than 30 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!