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Tree-based gradient boosting is an ensemble method that builds a powerful prediction model by sequentially adding weak learners (often decision tree stumps). 🌲📈To help my students really get it, I built a #Python @matplotlib interactive dashboard 🚀🐍Step through each stump and watch the model update as the residuals and error evolve in real time! 🔥🎯#MachineLearning #DataScience #AI #Python
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from implementing two layer neural nets from scratch using numpy in dec 2025 to training multiple cool CNN models, ViTs, small LMs, etc. i am loving every bit of my ML journey, more specifically DL. because the only thing i use from classical ML is gradient boosting :)kudos!if you wonder what i do to keep up with the ai race now, i do this:- read old classic papers- understand and implement them if possible - read new good papers- understand and implement them if possible- a lot of technical wri
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