Chapter 5
Machine Learning Fundamentals
Section 4
Feature Transformers
The aim of this video is to examine feature transformers as a part of Spark machine learning fundamentals. - Show how Principal Component Analysis (PCA) projects vectors into low-dimensional space - Show how OneHotEncoder Estimator transforms continuous features into categorical features - Show how MinMaxScaler transforms a dataset of Vector rows, rescaling each feature to a range such as 0 to 1