An exercise for learning Decision Trees Model #170
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Reference Issues/PRs
What does this implement/fix? Explain your changes.
I have made a new folder named 011> containing three folders inside of data , exercise and solution. This is based on Decision Tree Algorithm and i have tried to kept it as simple as possible so that beginner can understand it really well. The dataset used contain some columns (containing features),about the user and whether the user purchased the add or not. In this project we basically need to build a model, which can predict whether a user will purchase the add or not, depending on given inputs.
Any other comments?
I found this project 99-ML-Learning-Projects very great initiative, which will be very beneficial to any other learner of ml.
Looking forward to contribute more in future.