# Linear Independence | Linear Algebra - Dr. Ahmad Bazzi 📚About . Linear Independence is a fundamental concept in linear algebra that tells us if a certain linear relationship exists between two or multiple given vectors or not. ⏲Outline⏲ 00:00 Introduction 00:50 What is Linear Independence ? 03:55 The Hidden Meaning of Linear Independence 09:20 Test for Linear Independence 09:51 Example 1: Case of Linear Dependence 17:48 Example 2: Case of Linear Independence 22:40 Outro

📚About Linear Independence is a fundamental concept in linear algebra that tells us if a certain linear relationship exists between two or multiple given vectors or not.

⏲Outline⏲ 00:00 Introduction 00:50 What is Linear Independence ? 03:55 The Hidden Meaning of Linear Independence 09:20 Test for Linear Independence 09:51 Example 1: Case of Linear Dependence 17:48 Example 2: Case of Linear Independence 22:40 Outro

## A Deep Dive into Linear Regression

Lets begin our machine learning journey. A Deep Dive into Linear Regression. Why is this not learning? Because if you change the training data or environment even slightly, the algorithm will go haywire! Not how learning works in humans. If you learned to play a video game by looking straight at the screen, you would still be a good player if the screen is slightly tilted by someone, which would not be the case in ML algorithms.

## A Complete Guide to Linear Regression for Beginners

A Complete Guide to Linear Regression for Beginners. Linear Regression is the most simple, easily understandable, and widely used supervised regression model. In this blog post, I will be discussing simple linear regression.

## Linear Regression using Iris Dataset — ‘Hello, World!’ of Machine Learning

A very basic introduction to Linear Regression with Iris Dataset

## Linear Vs Non-Linear

Linear Vs Non-Linear - When we talk about Machine Learning and Deep Learning, terms that we frequently come across is linear and non linear functions.  Although…

## Linear Regression — Part I

Linear Regression is a linear approach to model the relationship between a two or more variables by fitting a straight line i.e. linear… To perform Linear Regression, Data should accomplish the below constraints: Data should be Continuous. There should be a Correlation & Causation exists between Independent & Dependent Variable.