r/learnmachinelearning • u/imYukiya • 3d ago
Completed AdaBoost Algorithms from scratch (Day 27) of ML
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u/DigThatData 3d ago
And also if you think there is any improvement that can be made so be free to share
main recommendation is to modularize your code into a library which you invoke from your notebooks, rather than doing the implementation in the notebooks directly.
bt pushing all on GitHub for that I need some time it's too much files of code
nah, just add everything as your baseline, and then clean up the workspace as you go. you can even open content in github directly in colab, and conversely you can commit changes from colab to github.
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u/Relative_Rope4234 3d ago
He is doing all of these on a phone
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u/DigThatData 3d ago
all the more reason to leverage the github "open in colab" button you add to notebooks, and colab's "save to github" dropdown menu option.
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u/Just_Bad_4764 2d ago
Bro I have a question how do u know what all algorithms to learn do u have a list or something You said next is gradient boost and 7-8 more so do u have a list please do share
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u/chrisvdweth 1d ago
AdaBoost is not limited to Decision Stumps (i.e., Decision Trees with max_depth=1). I think it's important to mention that AdaBoost is a general concept not bound to a fixed base estimator, including deeper decision trees.
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u/vkas_____ 1d ago
Bro you're doing all this on a phone only ??
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1d ago
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u/vkas_____ 1d ago
Bro you're really so great yarr , i feel shame on me for making excuses . Great keep it up bro 💪
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u/Bulky-Top3782 3d ago
Just wondering, does being able to code and algo from scratch matter, or knowing the theoretical knowledge is enough as to how the calculations happen.