Linear Landscapes of Dimensionality Reduction

Mastering Dimensionality Reduction with PythonLinear 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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