A Complete Introduction to XGBoost for Machine Learning Engineers

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This course will cover all the core aspects of the most well-known gradient booster used in the real-world.
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Mike West is the King of Gradient Boosters!!!

ladistar
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Dear Mike, your videos are spectacular, and soon I am finishing with my last exams for this year(third year bachelor in computer science and informational technology, working part-time as an ml engineer, helping some big guys do stuff) and i will kill myself with your course. For now, I am rewatching free material from here, again and again, studying it.
Thanks for all the advice Mike! Following you on Quora also, love the advice there. Keep it up

lukasavic
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Mike I hope you can respond to this!

Just curious as to why in your imputation chapter you didn’t cover more sophisticated approaches like KNNImputation and IterativeImputer from sklearn?

Also, I’m seeing you’re getting some pretty decent modelling results in this chapter. Would you expect these to increase after doing categorical variable encoding such as one hot encoding or is the unique integer mapping good enough in this case?

Thank you if you respond! Cheers

codewithbrogs
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Sir
I have heard a Huge Recession is Coming

Is Deep Learning and NLP Engineers Role safe

What do you think?

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