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Mastering Dimensionality Reduction with Python
Linear Landscapes of Dimensionality Reduction
Linear Landscapes of Dimensionality Reduction
Unlock the secrets of Linear Discriminant Analysis (LDA) to improve your data's feature selection and enhance model accuracy through hands-on Python exercises.
Lessons and practices
Lesson 1: Exploring Linear Discriminant Analysis: Theory to Code
Iris Garden Dimensionality Reduction with LDA
Reducing to a new dimension
Calculating the LDA Transformation Matrix
Projecting to the LDA Subspace
Lesson 2: Exploring Linear Discriminant Analysis with Scikit-Learn
Visualizing Iris Dataset with LDA
Dimensionality Reduction and Plot Adjustment in LDA
Predicting with LDA and Evaluating Accuracy
Journey through the Code Nebula with LDA
Lesson 3: Deciphering Dimensionality Reduction: PCA vs. LDA Techniques and Implementation
Dimensionality Reduction Showdown: LDA vs PCA on Iris Dataset
Applying PCA and Training the Logistic Regression Model
Implementing LDA and PCA in Iris Classification
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