Resolved: handling Medical Datasets with Categorical data in tf
Good day, I have a medical dataset that I got from Kaggle, this data has 80 percent categorical data as predictors for heart disease. I want to develop and use the structure of the business case to develop a NN. how do I handle the categorical data using TF and also balance the dataset
I know it's over a year you asked this question but maybe it can help someone else.
Maybe you can transform the categorical data into dummies because you can train a model using numerical variables.