Perform Correlation Check, Variance Check and Visual Exploration

[ParnaviKulkarni]

Use different EDA tools and techniques to find relationships and redundancies within the data.

Dataset is inside AI-ML/data directory. Project code is inside AI-ML/code directory. Add your code inside 'Correlation check', 'Variance Check' and 'Visual Exploration' sections. You can add sub sections as needed.

[JanhaviGadre]

Name: Janhavi Gadre College: Cummins College of Engineering for women Department: Computer “I would like to work on this issue”

[ParnaviKulkarni]

As you are already assigned to an issue which is not closed yet , I cannot assign you this issue at the moment.

[ishashukla183]

Isha Shukla TY Comp C I'd like to work on this issue.

[JanhaviGadre]

Can you assign this issue to me?

[ParnaviKulkarni]

@JanhaviGadre assigned this issue to you. You can also use EDA techniques and graphs that help in making sense of dataset more clearly. Make sure you pull the latest changes before pushing the final code.

[JanhaviGadre]

I have created a PR can you check?

[ParnaviKulkarni]

@JanhaviGadre Please add your code inside AI-ML/code/Diabetes 0-1 Classification.ipynb and commit again.

[JanhaviGadre]

ok will do the changes

[JanhaviGadre]

Created new PR