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- Linear Discriminant Analysis bit by bit http://sebastianraschka.com/Articles/2014_python_lda.html 3 comments
- Linear Discriminant Analysis bit by bit http://sebastianraschka.com/Articles/2014_python_lda.html 8 comments statistics
Linking pages
- A Gentle Introduction to Feature Extraction and Feature Selection In Python https://analyticsarora.com/a-gentle-introduction-to-feature-extraction-and-feature-selection-in-python/ 11 comments
- Linear Discriminant Analysis (LDA) 101, using R | by Peter Nistrup | Towards Data Science https://towardsdatascience.com/linear-discriminant-analysis-lda-101-using-r-6a97217a55a6 7 comments
- bnomial-archive/questions.md at master · akhildevelops/bnomial-archive · GitHub https://github.com/Enforcer007/bnomial-archive/blob/master/questions.md 0 comments
- Predictive modeling, supervised machine learning, and pattern classification http://sebastianraschka.com/Articles/2014_intro_supervised_learning.html 0 comments
- Kernel tricks and nonlinear dimensionality reduction via RBF kernel PCA http://sebastianraschka.com/Articles/2014_kernel_pca.html 0 comments
Linked pages
- Implementing a Principal Component Analysis (PCA) http://sebastianraschka.com/Articles/2014_pca_step_by_step.html 26 comments
- sklearn.decomposition.PCA — scikit-learn 1.2.1 documentation https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html 12 comments
- Machine Learning Q… by Sebastian Raschka, PhD [PDF/iPad/Kindle] https://leanpub.com/machine-learning-q-and-ai 12 comments
- scikit-learn: machine learning in Python — scikit-learn 1.3.1 documentation http://scikit-learn.org/stable/index.html 1 comment
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