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README.md

Decision-Tree-Algorithm

Here we explain the concept and math behind Decision Tree Algorithm, code it completely from scratch using only two libraries: numpy and pandas and implement it.

In this repository you can find following files:

  1. pdf file: Decision Tree Classification in Python.pdf which is a seminary paper (under the work) that explains the concept and math behind Decision Tree Algorithm
  2. Jupyter notebook file: Decision_Tree_Classifier.ipynb that consists the code of our Decision Tree Algorithm as well as it's two implementations(two differents datasets)
  3. First dataset: iris_data.csv
  4. Second dataset: iphone_purchase_records.csv