LDA: The Ultimate Dimensionality Reduction Technique| Supervised Machine Learning | GATE DA
Unlock the power of **Linear Discriminant Analysis (LDA) in Machine Learning!
In this video, I break down LDA in a simple and intuitive way, explaining how it works, why we use it, and how it improves classification performance. Whether you’re a beginner or an intermediate learner in Data Science or ML, this tutorial will help you fully understand one of the most important dimensionality reduction techniques.
🔥 What You’ll Learn:
* What is Linear Discriminant Analysis (LDA)?
* LDA vs PCA: Key differences
* How LDA helps in classification
* Real-world use cases
* Step-by-step explanation with visual intuition
💡 Why Learn LDA?
LDA is widely used in machine learning for feature extraction, improving model accuracy, and reducing computational cost. Understanding LDA helps you build better and more efficient ML models.
📘 Topics Covered:
* Dimensionality Reduction
* Supervised Learning
* Statistical Pattern Recognition
* Feature Engineering
* Classification Algorithms
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