The University of Cyprus's MSc Artificial Intelligence is part of the Master programme in Artificial Intelligence 4 Careers in Europe (MAI4CAREU). One of Master's programme's courses, MAI612 - Machine Learning is split up into several lectures. Taught by Vassilis Vassiliades, PhD, the second lecture of the MAI612 - Machine Learning course focuses on Data Preparation.

Learning outcomes

• The process of collecting data and preparing datasets for developing machine learning solutions
• The importance of data preparation
• The data preprocessing and data transformation steps 
• The importance of data visualization and exploratory data analysis  
• Why we split a dataset into a training and a test set

The course is divided in different sections: 

• Data Collection
• Data Preprocessing
• Data Visualization
• Data Transformation
• Dataset Splitting 

Would you like to know more? You can check the following links: 

• What is Data Preparation in a Machine Learning Project
• Data Preparation and Feature Engineering in ML