Introduction to Data Analytics and Big Data (1.5 hours)
The participants will be exposed to the types of data analytics, source of data and different types of models. The types of model will be discussed with the suitable Machine Learning algorithms for development and evaluation.
Data Preparation and Pre-processing (2 hours)
Data preparation and pre-processing is an important step to explore and clean data prior to modelling and analysis. The collected data normally contains noise and outliers, so the data will be processed for a more structured form.
Predictive Model Development using Machine Learning Classifier I (2.5 hours)
Model development involves training and testing for deployment purposes. The Machine Learning classifiers are among the common algorithms used for the model development.
