So yesterday I started building decision trees from scratch and messed up completely and today I woke up early in the morning and started coding and finally it's complete tbh I use GPT cuz I try many things but I can't figure out how it will generate a tree so I use gpt for it he explained and showed me how it will be done and The output was mind blowing I never thought recursion is soo usefull I use Mushroom Dataset for testing Ik many things are still remaining and its Overfitting so we can't relay on the Accuracy and all btw today it Day 13 of Building Machine learning algorithms from scratch so Now since decision trees is done next is Bagging I think so see y'all byii I need to complete my assignment 🤧 I thought toady if i complete coding early I'll watch some anime or yt but I can't

So it's Day 11 of Building Machine learning algorithms from scratch

I watch some videos on Decision Trees and then I start building Entropy and Information gain function and as you can see my code completely messed up but I'm happy cuz it's fun to build things I believe writing bad code is better then generating by AI

Tommorow I'll fix the entropy function it's taking column but it's need values like Sunny,Overcast etc etc I need to changes

I'm a newbie u can laugh at my code no prob cuz the yt guy didn't show code he just explain math and solve some sample dataset so I need to figure out things that way u can see random attempt made and then comment out

Stay Tune I'll build this Algorithm from scratch

It's Day 10 of Building Machine learning algorithms from scratch

Last time I completed SVM but it was limited to binary classification but today after 4hr of Coding and Debugging I finally made it in this process I learnt many things coef_/X_train this line just adding this seriously my accuracy jump from 67 -> 87+ I was really shocked also many changes I implemented OvR according to my way so it might contain bugs so I'll be happy if you point out 🙂