Dimensionality Reduction, PCA, Linear Discriminant Analysis (Learn ML vid 6)
Video tutorial goes over limitations of logistic regression, linear discriminant analysis, learning LDA, dimensionality reduction, projection into lower dimension spaces, overfitting with higher dimensional data, Principal Components Analysis, PCA example, and visualization
WEBSITE COMING SOON
Sources/Credit for Content:
Victor Powell - http://setosa.io/ev/principal-compone...
https://towardsdatascience.com/linear...
https://towardsdatascience.com/dimens...
https://www.geeksforgeeks.org/ml-line...
Jason Brownlee - MLmastery
The Learn ML video lecture series is aimed at developing the viewer’s computer science skills in the expansive fields of Machine Learning and Deep Learning.
Made by Siddharth Sharma
