Heart Disease Classify:

Problem Statement: Annual CDC survey data of 400k adults related to their health status: The original dataset of nearly 300 variables was reduced to just about 18 variables. In addition to classical EDA, this dataset can be used to apply a range of machine learning methods, most notably classifier models (Logistic Regression, SVM, KNN, XgBoost, AdaBoost, Decision Tree, Random Forest, ANN etc.). You should treat the variable "HeartDisease" as a binary ("Yes", respondent had heart disease; "No", respondent had no heart disease). But note that classes are not balanced, So the classic model application approach is not advisable. Fixing the weights/undersampling should yield significantly betters results. Based on the dataset, Can you indicate which variables have a significant effect on the likelihood of heart disease? Do analysis. The dataset contains 18 variables (9 booleans, 5 strings and 4 decimals). In machine learning projects, "HeartDisease" can be used as the explonatory variable, but note that the classes are heavily unbalanced.

1. HeartDisease: Respondents that have ever reported having coronary heart disease (CHD) or myocardial infarction (MI)
2. BMI: Body Mass Index (BMI)
3. Smoking: Have you smoked at least 100 cigarettes in your entire life? [Note: 5 packs = 100 cigarettes]
4. AlcoholDrinking: Heavy drinkers (adult men having more than 14 drinks per week and adult women having more than 7 drinks per week
5. Stroke: (Ever told) (you had) a stroke?
6. PhysicalHealth: Now thinking about your physical health, which includes physical illness and injury, for how many days during the past 30 days was your physical
7. MentalHealth: Thinking about your mental health, for how many days during the past 30 days was your mental health not good?
8. DiffWalking: Do you have serious difficulty walking or climbing stairs?
9. Sex: Are you male or female?
10. AgeCategory: Fourteen-level age category
11. Race: Imputed race/ethnicity value
12. Diabetic: (Ever told) (you had) diabetes?
13. PhysicalActivity: Adults who reported doing physical activity or exercise during the past 30 days other than their regular job
14. GenHealth: Would you say that in general your health is..
15. SleepTime: On average, how many hours of sleep do you get in a 24-hour period?
16. Asthma: (Ever told) (you had) asthma?
17. Kidney Disease: Not including kidney stones, bladder infection or incontinence, were you ever told you had kidney disease?
18. SkinCancer: (Ever told) (you had) skin cancer?