Regression Expert
Budget: $10 – $30 AUD
**Constructed a causal network for explaining the variation in the incidence of diabetes, using the LASSO regression
**Load and preprocess the data using Python.
**Then split the data into a training set and a validation set, with 70% of the data used for training and 30% for validation.
then you will use LASSO regression to identify the most important variables that cause diabetes.
To construct a causal network based on the LASSO regression results, we should identify the variables with non-zero coefficients in the LASSO model, which are the variables that are most strongly associated with diabetes.
**Load and preprocess the data using Python.
**Then split the data into a training set and a validation set, with 70% of the data used for training and 30% for validation.
then you will use LASSO regression to identify the most important variables that cause diabetes.
To construct a causal network based on the LASSO regression results, we should identify the variables with non-zero coefficients in the LASSO model, which are the variables that are most strongly associated with diabetes.