An end to end guide on how to reduce a dataset dimensionality using Feature Extraction Techniques such as: PCA, ICA, LDA, LLE, t-SNE and AE. — Introduction It is nowadays becoming quite common to be working with datasets of hundreds (or even thousands) of features. If the number of features becomes similar (or even bigger!) than the number of observations stored in a dataset then this can most likely lead to a Machine Learning model suffering…