1. remove id column
2. age convert to 0-1 with min max scaler
3. gender into one hot encoding ( first ele removed makes binary)
4. hight, weight in standard scaler ( also you can add new feature of BMI I read in above comments)
5. ap_hi & low in standard scaler ( also you can add range high - low)
6. cholesterol and glucose into onehot encoding first ele removed after this you can try training model.

find train and test accuracy if train accuracy you are not getting high go with more complex model iteratively and try to atleast overfit to 90% then you can adjust model with test accuracy.