PCOS Detection EDA to investigate data and generate insights :
1.Perform Univariate and Multivariate analysis and draw conclusions from there.
2.Explore Correlation Matrix(can try different methods and search if they give the same conclusion and why)
3.Check the distribution(skewness) of the columns
4.Detect Outliers(don't remove)
5.Detect Class Label Imbalance
Changes
Adding the "PCOS_EDA.ipynb" file in PCOS folder.
Checklist
Make sure to check off all the items before submitting. Mark with [x] if done.
[x] I have performed a self-review of my code
[x] I have commented my code, particularly in hard-to-understand areas
Description
PCOS Detection EDA to investigate data and generate insights :
1.Perform Univariate and Multivariate analysis and draw conclusions from there. 2.Explore Correlation Matrix(can try different methods and search if they give the same conclusion and why) 3.Check the distribution(skewness) of the columns 4.Detect Outliers(don't remove) 5.Detect Class Label Imbalance
Changes
Adding the "PCOS_EDA.ipynb" file in PCOS folder.
Checklist
Make sure to check off all the items before submitting. Mark with [x] if done.