https://github.com/justsecret123/clustering-and-decision-tree-iris-dataset-
A quick Notebook to explore a ML pipeline, which consists on preparing the data, explore the data, then apply Machine Learning techniques (K-Means then Decision Tree) to gain insisghts from the data.
https://github.com/justsecret123/clustering-and-decision-tree-iris-dataset-
Last synced: 6 months ago
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A quick Notebook to explore a ML pipeline, which consists on preparing the data, explore the data, then apply Machine Learning techniques (K-Means then Decision Tree) to gain insisghts from the data.
- Host: GitHub
- URL: https://github.com/justsecret123/clustering-and-decision-tree-iris-dataset-
- Owner: Justsecret123
- License: gpl-3.0
- Created: 2021-08-03T18:10:59.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-04-26T08:50:59.000Z (over 3 years ago)
- Last Synced: 2025-02-15T08:42:24.620Z (8 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 504 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Clustering-and-Decision-Tree-Iris-Dataset-
A quick Notebook to explore a ML pipeline, which consists on preparing the data, explore the data, then apply Machine Learning techniques (K-Means then Decision Tree) to gain insisghts from the data.# Techniques explored
- Data cleaning
- K-Means Clustering
- Decision Tree# Screenshots
## Data cleaning (snippet)
## K-Means Clustering
### 2D Visualization
.PNG)### 3D Visualization
.PNG)## Decision Tree
# Prerequisites
- Language : Python 3.x or higher
- IDE : Jupyter Lab
- Librariries : Scikit-learn, Pandas, NumPy, Matplotlib, Mpl_toolkits