# milaan9/Python\_Decision\_Tree\_and\_Random\_Forest

<https://repo.masters-masters.com/en/repos/milaan9/Python_Decision_Tree_and_Random_Forest>

[Home](https://repo.masters-masters.com/en) › [milaan9](https://repo.masters-masters.com/en/owners/milaan9) › [Python\_Decision\_Tree\_and\_Random\_Forest](https://repo.masters-masters.com/en/repos/milaan9/Python_Decision_Tree_and_Random_Forest)

milaan9/Python\_Decision\_Tree\_and\_Random\_Forest has 267 stars on GitHub. Its RepoMasters card: Alpha tier. I've demonstrated the working of the decision…

| Field | Value |
| --- | --- |
| Owner | [milaan9](https://repo.masters-masters.com/en/owners/milaan9) |
| Stars | 267 |
| Forks | 205 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Topics | decision-tree, decision-tree-classifier, decision-tree-algorithm, decision-tree-classification, decision-tree-id3, id3-algorithm, python-decisiontreeclassifier, python-decision-tree, python4beginner, python4everybody |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [milaan9/Python\_Decision\_Tree\_and\_Random\_Forest](https://github.com/milaan9/Python_Decision_Tree_and_Random_Forest) |

## Repository

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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