Unlock the secrets of Linear Discriminant Analysis (LDA) to improve your data's feature selection and enhance model accuracy through hands-on R exercises.
Overview
Syllabus
- Unit 1: Linear Discriminant Analysis
- Exploring Iris Flower Patterns with Linear Discriminant Analysis
- Alter Dimensionality in Linear Discriminant Analysis
- Implementing Linear Discriminant Analysis Transformation
- LDA Transformations and Data Projection
- Unit 2: Linear Discriminant Analysis
- LDA Analysis of Iris Dataset for Species Classification
- Dimensionality Reduction and Visualization with LDA in R
- Dimensionality Reduction with Linear Discriminant Analysis
- Linear Discriminant Analysis from Scratch on Iris Dataset
- Unit 3: PCA and LDA Comparison
- Dimensionality Reduction Techniques for Iris Dataset Classification
- LDA Transformation and Logistic Regression Classifier Implementation
- Comparative Analysis of Classifier Accuracy Using LDA and PCA on Iris Dataset