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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