https://github.com/prahaladhchandrahasan/decision_tree_internship_tsf
Decssion tree algorithm was applied on the Iris Dataset . One of my submissions for the TSF's GRIP internship, October 2020.
https://github.com/prahaladhchandrahasan/decision_tree_internship_tsf
decision-tree-classifier matplotlib-pyplot numpy pandas python3
Last synced: about 2 months ago
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Decssion tree algorithm was applied on the Iris Dataset . One of my submissions for the TSF's GRIP internship, October 2020.
- Host: GitHub
- URL: https://github.com/prahaladhchandrahasan/decision_tree_internship_tsf
- Owner: prahaladhchandrahasan
- Created: 2020-10-05T17:57:20.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-10-06T04:37:42.000Z (over 4 years ago)
- Last Synced: 2024-07-15T21:59:54.712Z (10 months ago)
- Topics: decision-tree-classifier, matplotlib-pyplot, numpy, pandas, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 15 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Decision Tree Classifier
1. Decision Tree Classifier along with Exploratory Data Analysis on the iris dataset was performed.
2. The dataset can be downloaded from [here](https://drive.google.com/file/d/11Iq7YvbWZbt8VXjfm06brx66b10YiwK-/view)
3. Python version '3.6.9' was used for devloping this project.
4. Check out [requirements.txt](https://github.com/prahaladhchandrahasan/Decision_tree_Internship_TSF/blob/master/requirements.txt) for the versions of the individual libraries used.