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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-

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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.

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# 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)
![Data cleaning](Screenshots/Data%20Cleaning.PNG)

## K-Means Clustering

### 2D Visualization
![2D Visualization](Screenshots/KMeans%20Clustering%20(2D).PNG)

### 3D Visualization
![3D Visualization](Screenshots/KMeans%20Clustering%20(3D).PNG)

## Decision Tree
![Decision Tree](Screenshots/Decision%20Tree.PNG)

# Prerequisites
- Language : Python 3.x or higher
- IDE : Jupyter Lab
- Librariries : Scikit-learn, Pandas, NumPy, Matplotlib, Mpl_toolkits