99-ML-Learning-Projects
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gimseng
[EXE] An exercise to learn decision tree
Learning Goals
A in-depth exercise to explore and learn the different aspects/hyperparameters of decision tree. Preferably using scikit-learn.
Prerequisites
A basic understanding of decision-tree, though this exercise is supposed to go into more detailed on how to use and optimize decision tree.
Data source/summary:
I'm agnostic to data source, as long as its useful to learn/teach the method.
Hey, this is a very good learning opportunity for me and the people who'll look at this too. I'll surely fork this right now.
@shree5101 Fantastic ! Thanks for contributing ! Do check out the contributing guidelines and other previous projects for an idea of the format.
Hi @iishipatel, let us check with @shree5101 to see what they have in mind. I am fine with >1 project on this, if they are of different nature (e.g. diff. data set or diff approaches/emphasis). Maybe @shree5101 could comment on what progress/data/model they are working on.
I would like to take up this issue as well, of course with a different dataset/approach!
I would like to contribute here as well as part of hacktoberfest, please maintainer accept it
Hey, this is a very good learning opportunity for me am new to open source contribution. I liked this project, and i can really work on providing good detailed exercise on decision learning algorithm. And am going to use social networking adds where we will try to predict whether a person will click through add or not based on some factors. If its open ill love to work on this.
Hi Maintainer, I would like to contribute my knowledge of decision trees as part of hacktoberfest 2022 with a straightforward approach (Maths + Code) so that whoever reads/executes it can understand the beauty behind various tree algorithms. kindly accept it. Thank you.
