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

3D Visualization

Decision Tree

Prerequisites

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