In machine learning, PCA stands for Principal Component Analysis. PCA is used to tackle a known ML problem when a dataset has a large number of features, i.e. high dimensions, also known as the curse of dimensionality. The ML feature engineering engineering techniques available are classified into feature selection and feature extraction techniques. Dimensionality reduction ... Read more
Python is an imperative computer programming language. Python is very versatile and flexible and can accommodate a series of problem solving algorithms in various knowledge domains. One scientific area in which Python excels is Machine Learning and, consequently, Artificial Intelligence. Python code, including libraries of classes and functions, are organized into packages and modules. A ... Read more
