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Download diabetes.csv file from modules in canvas. Write a function that will print patient records where BMI is in the interval [ 2 7 ,

Download diabetes.csv file from modules in canvas.
Write a function that will print patient records where BMI is in the interval [27,37], and outcome is 1(1: diabetic, 0: not diabetic)
Create a heat map using seaborn library and list features that are of high importance.
This is a subjective question. You will define high importance and you get a chance cross validate them when we do Principal Component Analysis.
High importance is defined as the value being close to 1.0 but not equal to 1.0. Sometimes 0.2 is of high importance, and other times 0.02 is important.
Remember to list both features in the matrix that meet high importance criteria.
Using Pandas DataFrames, prepare the data for machine learning. For this you will do the following:
Create diabetes_df (a dataframe for entire data)
Drop records with missing data (0, empty column values, NaN, etc.).
For each command, print # of records removed.
Print zero records removed if the condition is not met.
Replace column values where Insulin is 0 with 150
Print # of records were updated with new data for insulin
Rename column Outcome with Target
Write the updated dataframe (after addressing requirements (b) and (c)) into a new file: diabetes_df.csv (we will use this for machine learning)
Instructions:
Include comments for each step in the assignment to help us grading your work.
Submit a ipynb and pdf file both files. Don't submit zip file and zip files will not be accepted
diabetes.csv file link.
https://unt.instructure.com/courses/106574/files/27000226/download?download_frd=1

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