Analysis of the data for an epidemiological study for Chronic kidney disease. Identifying the correlation between blood tests, urine tests, age, and diabetes with Chronic kidney failure.
- Transformation and cleaning of data
- Univariate Analysis and Correlations (violin plot, boxplot, heatmap)
- Missing values Analysis and Correlation
- Imputation of Missing Data (Missing At Random) with MICE method (Multivariate Imputation via Chained Equations))
- Bivariate linear Regression model
- Training and Evaluation of a Multivariate Linear Regression Model