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Notebook:
https://github.com/AammarTufail/six-months_python_for_data_science-mentorship-program/blob/main/07_machine_learning/16_boosting.ipynb
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Done
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done once again
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I learned about the difference between DecisionTree Classification, RandomForest Classifier and xGBoost Classifier and their working.
When I practiced all these models, the best accuracy was given by the xGBoost Classifier.
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may allah bless your father
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https://www.kaggle.com/muhammadrameez242 , ye meri kaggle ki I'd hai yha par Ap mukamal assignments simple roman urdu mein mill jai gi codes mein
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Done
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Boosting algorithms comparison in Python coding.
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I have done this lecture with 100% practice.
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I have done this video with 100% practice.
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AOA, shouldn't the prediction for each model be set in a different variable besides y_pred? y_pred is over written every time and has last xgboost model prediction values. Consequently bar plots are same for all three models. Thank you
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