LDA (Linear Discriminant Analysis) In Python - ML From Scratch 14 - Python Tutorial

Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook In this Machine Learning from Scratch Tutorial, we are going to implement the LDA algorithm using only built-in Python modules and numpy. LDA (Linear Discriminant Analysis) is a feature reduction technique and a common preprocessing step in machine learning pipelines. We will learn about the concept and the math behind this popular ML algorithm, and how to implement it in Python. 📓 Notebooks available on Patreon: https://www.patreon.com/patrickloeber ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN If you enjoyed this video, please subscribe to the channel! The code can be found here: https://github.com/patrickloeber/MLfromscratch Further readings: https://sebastianraschka.com/Articles/2014_python_lda.html You can find me here: Website: https://www.python-engineer.com Twitter: https://twitter.com/patloeber GitHub: https://github.com/patrickloeber #Python #MachineLearning