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Davud Topalovic 17a50c0ec9 Initial commit 2022-12-22 11:10:56 +01:00
Decision Tree Classification in Python.pdf Initial commit 2022-12-22 11:10:56 +01:00
README.md Initial commit 2022-12-22 11:10:56 +01:00
decision tree classification.ipynb Initial commit 2022-12-22 11:10:56 +01:00
iphone_purchase_records.csv Initial commit 2022-12-22 11:10:56 +01:00
iris_data.csv Initial commit 2022-12-22 11:10:56 +01:00

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