The objective of this Project is to data visualization and training machine learning models to predict whether a person has diabetes or not. The Dataset contains inforamtion about each patient as dataset columns:
Columns
- Pregnancies
- Glucose
- BloodPressure
- SkinThickness
- Insulin
- BMI
- DiabetesPedigreeFunction
- Age Outcome
Algorithms that have been used:
- LogisticRegression
- LogisticRegression
- DecisionTreeClassifier
- RandomForestClassifier
- SVC
- GaussianNB
- KNeighborsClassifier
- GradientBoostingClassifier
- MLPClassifier
- AdaBoostClassifier
- ExtraTreesClassifier
- XGBClassifier
