Predictive Analytics Using Python (NCHNAP689)

This course introduces the end-to-end data-driven statistical modelling and predictive modelling approach in Python with applications and case studies. Includes all the data and modelling steps in a full modelling cycle; exploratory data analysis and data cleansing for outlier imputation and data normalization; commonly applied modelling techniques such as classification, linear regression, and logistic regression; and modelling steps such as model training, validation, and testing.