Gradient Boosting Hands-On Step by Step from Scratch

Learn how to write gradient boosting tree algorithm from scratch.
Learn how the Loss function is derived and applied into python code as part of your boosting iteration.
Learn a trick to present your charts as interpretable categorical values rather than encoded numerical values. (This is done a lot in practice)
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[@tomryan7679]

@machinelearningmaster Great video, thanks! Could you please share the dataset used so that we can replicate this?

[@sachinmotwani2905]

Can you please share the link of the notebook as well?

[@machinelearningmastery]

I have gone over the code in the Video. Any particular segment that needs clarity?

[@sureshm430]

Amazing explanation.. Appreciate you effort

[@Seun-A-Ajayi]

Please, can you share the link to the notebook? I was hoping to find it in the description

[@machinelearningmastery]

I have covered the code sections in detail in video. Please let me know if anything was not clear.