Exploratory Data Analysis using Python | Machine learning Application

[Ganesh-Nagarampalli]

PR Description

This pull request adds an exploratory data analysis (EDA) report on the Iris dataset. The report includes uni-variate, bi-variate, and multi-variate analyses, as well as correlation analysis. Key insights and observations are provided, highlighting the characteristics and relationships among the features and species in the dataset. This EDA report serves as a foundation for further analysis and modeling tasks.

Related Issues

• Closes #1204

Checklist

• [x] I have gone through the contributing guide
• [x] I have updated my branch and synced it with project main branch before making this PR

Undertaking

I declare that:

1. The content I am submitting is original and has not been plagiarized.
2. No portion of the work has been copied from any other source without proper attribution.
3. The work has been checked for plagiarism, and I assure its authenticity.

I understand that any violation of this undertaking may have legal consequences that I will bear and could result in the withdrawal of any recognition associated with the work.

• [x] I Agree

[ashitaprasad]

What is the source of these images?

[Ganesh-Nagarampalli]

What is the source of these images?

i have done EDA on IRIS dataset using google colab these are the output images of the code.

My Colab File : https://colab.research.google.com/drive/1SXA4p__09Wejic4TYHTxK7gR65_92nd9?usp=sharing

[ashitaprasad]

Check the contributing guide. You are missing something.

[Ganesh-Nagarampalli]

Thank you, I forgot to update index.md, Now the issue is resolved

[Ganesh-Nagarampalli]

Hey @ashitaprasad could you please merge this and assign labels to it.