Discussing the article: "Data Science and Machine Learning(Part 20) : Algorithmic Trading Insights, A Faceoff Between LDA and PCA in MQL5"

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Check out the new article: Data Science and Machine Learning(Part 20) : Algorithmic Trading Insights, A Faceoff Between LDA and PCA in MQL5.
Uncover the secrets behind these powerful dimensionality reduction techniques as we dissect their applications within the MQL5 trading environment. Delve into the nuances of Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA), gaining a profound understanding of their impact on strategy development and market analysis.
LDA is a supervised generalization machine learning algorithm that aims to find a linear combination of features that best separates the classes in a dataset.
Author: Omega J Msigwa