Let’s Write a Decision Tree Classifier from Scratch - Machine Learning Recipes #8

best video about decision tree thus far

Why is the impurity at the decision node "color=green" equal to 0.62

How to decide when to use Decision Tree Vs Random Forest

Hey can anyone explain to me why do we square while taking the gini impurity? Why can't we take it without squaring it.

Such a good video! I have very clear now

The script is tightly edited. Much appreciated.

He is a nice person

Thank you Josh for preparing and explaining this presentation aa well as the software to help the understanding of the topics. Great job!

I m using ua algo....but getting queries...how do I connect u??

I am crying tears of joy! How can you articulate such complex topics so clearly!

Thank you sir thank you so much.

Love the music!

I've never seen any other channels like this. So deep and perfect.

holy loly gesus moly

You are creating a question with only one value, what if I want to have a question like "Is it GREEN OR YELLOW?". So, basically, I will have to test all combinations of values of size 2 to find the best info_gain for a particular attribute. Furthermore, we could test all possible sizes of a question. Would that give a better result or is it better to use only one value of the attribute to build the question?

Does someone know how to code a pruning of this tree?

Excuse me, I am still not clear about how the value of 0.64 comes out, can you explain a little more?

So much value in just 10 mins, this is Gold

wait a min... you are calculating IG based on gini? I think IG is associated with entropy, and IG should be nothing but choose the split made delta entropy biggest.

How comes that in the calculation of the GINI Impurity we remove from the impurity the square of the probability of each label?

Thank you very much for this video! I learnt a lot on how to understand Gini Coefficient and how it is used to pick the best questions to split the data!

Great video and such clear code to accompany it! I learned a lot :)

Can anyone help me out ,I'm getting error like couldn't able to convert int value into float from dataset

How do we train this model and save it ?

Amazing and Tnx for sharing the code <3

Has anyone run into 'TypeError: cannot unpack non-iterable NoneType object' at the end of code?

I built a tree from scratch but I am stuck making a useful plot like is obtainable in sklearn. Any help?

so INSTRUCTIVE. thank you so much for your clear & precise explanation

Care to explain where does 4/5 or 1/5 come from? There are 11 training examples, and the left only has 8, the number does not add up.

I understood it as "when Gini Impurity of parent node is zero, Information Gain with child nodes is also zero. So we don't have to ask more question to classify." Is it right?

incredible !

Awesome tutorial, many thanks!

This video has saved my life 😆

Sooo dooope !!!!
Helpful 🔥🔥🔥

😮😮😮😮

Why gini impurity has a square?

Is it information gain or gini gain? I'm trying to figure it out from multiple sources and I'm kinda confused.

Hello sir, it is possible to classify animal-trapped camera images and segregate them into folders using an automatic process. This can be done using machine learning and computer vision techniques. Please make a video. I work in the forest department. Many Photographs capture a maximum of 18 lakhs. One by one segregation of having a problem. Please help us

The Gino impurity function in the code does not output the same responses listed in the video. It’s quite confusing.

We can teach it to you but we cannot learn it for you.

thanks! that was helpful)

you are awesome, man! but why is it that, the second question on if the color is yellow? you separated only apple when two grapes are red. Or is it because they are already taken care of at the first false split of the node?

Why Impurity is 0.62 after partitioning on "Is color green" on the left subtree?

One of the best course i ever seed

Incredibly clear explanation. Thank you!

Great to watch it.