Machine Learning from Scratch - Python Tutorials - LDA (Linear Discriminant Analysis) In Python - ML From Scratch 14 - Python Tutorial

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This course includes

4.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

Python Machine Learning LDA Linear Discriminant Analysis ML From Scratch ML Python ML Tutorial numpy

Full Transcript

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