Explaining complex subjects with your calm, composed, deep voice paired with the slow jazz music background of your choosing make me feel like I am in a private tutoring session with you in an empty bar. I am all for it! Thank you!
Just learned about the optuna library for hyperparameter optimization. Gotta love ol gridsearchCV. Just have to take advantage of parallelization for models like random forest and xgboost. Can take awhile to search without. Great video!
also loving the great voice and smooth jazz. However I am puzzled. why is it valuable, in the first few moments to plot a 45-degree angle "line" scatterplot? plotting the same values with both axes will always make a 45-degree angle "line", won't it?
Great question! If you have enough data it’s good always hold a set to validate your model with data it hasn’t seen. If you have to choose one approach CV is better. If you can, use both.
Explaining complex subjects with your calm, composed, deep voice paired with the slow jazz music background of your choosing make me feel like I am in a private tutoring session with you in an empty bar. I am all for it! Thank you!
My pleasure! Thank you for the kind words!
Thank u, as a math student, I am used to take time to process things, U slowing down was really helpful
Thank you very much! 🙏🏽 good luck on your learning journey!
Thank you so much for this video, really great explanations and presentation with just the right amount of detail.
You're very welcome! Have a great day!! 🙏🏽
You are the best!! Thank you a lot ❤
Thank you very much!!
Amazing, thank you so much, your explination is so clear
Thank you!!🙏🏽
Thank you for your great explanation
Glad it was helpful!! 🙏🏽
Have you used gridsearchcv? 👀 🙋🏾♂️
Just learned about the optuna library for hyperparameter optimization. Gotta love ol gridsearchCV. Just have to take advantage of parallelization for models like random forest and xgboost. Can take awhile to search without. Great video!
@@deltax7159 great build! I’ll also check out optuna
also loving the great voice and smooth jazz. However I am puzzled. why is it valuable, in the first few moments to plot a 45-degree angle "line" scatterplot? plotting the same values with both axes will always make a 45-degree angle "line", won't it?
Why do we need to split it to be X_train and y_train when internally in gridsearchCV we will conduct k-fold? please help me answering this question
Great question! If you have enough data it’s good always hold a set to validate your model with data it hasn’t seen. If you have to choose one approach CV is better. If you can, use both.
@CJP3 thanks for the answer sir
How can I modify my jpynb to look like exactly like yours? I don't see a tab like yours while constructing classes. Help!!
Howdy, do you mean dark mode in Jupyter?
imparator
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