Problem statement:

Assume you are working as a data mining engineer for a pharma company and are part of a research team working to launch a new anti$-$diabetes product in the market. The team is working with a diabetes dataset for necessary mining operations. Being an engineer of the team, you are supposed to work the "diabetes.CSV$"$ which is stored in google drive.

The fields of the dataset "diabetes.csv$"$ are:

i$)$ Pregnancies: Number of times pregnant ii$)$ Glucose: Plasma glucose concentration $2$ hours in an oral glucose tolerance test iii$)$ BloodPressure: Diastolic blood pressure $($ mm Hg $)$ iv$)$ SkinThickness: Triceps skir fold thickness $($ mm $)$ v$)$ Insulin: $2-$Hour serum insulin $(\frac{U}{m}l)$ vi$)$ BMI: Body mass index $($weight in $k\frac{g}{(\text{h}\text{e}\text{i}\text{g}\text{h}\text{t}inm{)}^{?}}2)$ vii$)$ DiabetesPedigheFunction: Diabetes pedigree function viii$)$ Age: Age $($years$)$ ix$)$ Outcome: Class variable $(0$ or $1).$

Assume you are using Google Colab as the development environment and the file "diabetes.csv$"$ has been loaded to google drive.

Mark for Review & Next