AI-ML-Assignment-1-Dev-Setup

Assignment: Development Environment Setup and Data Exploration

Project Overview

This assignment explores the Iris dataset using Python tools.

Environment Details

• Python 3.11.13
• Libraries:
  • pandas
  • matplotlib
  • seaborn
  • numpy
  • scikit-learn 1.3.1

  How to Run This Notebook

1. Clone this repository
2. Open iris_exploration.ipynb in Jupyter
3. Ensure the following libraries are installed:
   • pandas
   • matplotlib
   • seaborn
   • numpy
   • scikit-learn
4. Run each cell in order to reproduce the analysis and visualizations

Visualizations with Key insights

1. Histogram of Petal Length - two major groupings, highest in 1 to 2 cm's in the data. other length lower volumes with average 4 to 6 cms

2. Box Plot of Sepal Width two species seem to have similiar lengths in common, but not the third

3. Scatter Plot of Petal vs Width - this shows a good grouping

Petal length and width show strong species separation.