Eigen value and Eigen vector and There Applications

Описание: Eigen values and Eigen vectors made easy! Learn the secret concept that powers linear algebra, machine learning, and data science.

Eigenvalues and eigenvectors are the core foundation of linear algebra, yet most students struggle to understand them clearly. In this video, you’ll learn eigenvalues and eigenvectors from scratch, explained in a simple, intuitive, and exam-oriented way.

This tutorial covers eigenvalue and eigenvector concepts step by step, helping you understand what they are, how to calculate them, and why they are so important in mathematics, engineering, machine learning, and data science.

🔥 What you will learn in this video:

Eigenvalues and Eigenvectors: Basic Definition

Geometric intuition behind Eigenvectors

Step-by-step method to find Eigenvalues and Eigenvectors

Characteristic equation explained simply

Common mistakes students make in exams

Applications of Eigenvalues and Eigenvectors in:

Machine Learning & AI

Data Science

Image Processing

Engineering Mathematics

Physics & Computer Science

This video is perfect for beginners, engineering students, and anyone preparing for university exams, competitive exams, placements, or interviews.

If you want to master linear algebra, this video on eigenvalues and eigenvectors is a must-watch.


In this video, we explain important mathematics concepts in a simple and step-by-step manner. This channel is dedicated to helping school, college, and competitive exam students understand mathematics easily with clear explanations and solved examples.

📌 Topics Covered on This Channel:
• Algebra & Linear Algebra
• Matrices (Determinant, Inverse, Eigenvalues & Eigenvectors)
• Calculus (Limits, Differentiation, Integration)
• Trigonometry & Geometry
• Arithmetic, Statistics & Probability

🎯 Who This Channel Is For:
✔ School Students
✔ College & Engineering Students
✔ Competitive Exam Aspirants (JEE, GATE, CBSE, ICSE, SAT, GRE)

📚 Learn mathematics step by step with examples, formulas, tricks, and practice questions.

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