In this video, we will cover data standardization.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...

In this video, we will cover Scikit-Learn for linear regression.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover vector space.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects)...

In this video, we will cover linear independence.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover linear combinations.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover coordinates versus dimensions.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...

This video goes over the dot product also known as the scalar product. This video covers the geometric interpretation of the dot product by going over 5 distinct cases where the angle between the vectors varies.

In this video series you will learn multiple math operations. I teach in front of a live classroom showing my students how to solve math problems step by step. My math tutorials should be used to review previous lessons, complete your...

The newest superhero on the block, Vector Man, faces his first challenge – a runaway train! This lesson will begin from the basics by introducing scalars and vectors.<br/>
Definitions included: scalar quantity, vector quantity

This is a very basic introduction to Tip-to-Tail Vector Addition using a motorized toy car that I made. Also included is an introduction to Vectors and Scalars, their definitions and some variable examples of Vectors and Scalars.

This video introduces the third way of multiplying vectors called the cross product also known as the vector product and sometimes refereed to as the area product. This video will cover the geometric definition of the cross product.

Master How to add, subtract and multiply a vectors by a scalar

This video goes over the dot product also known as the scalar product. This video covers an application of the dot product specifically, the scalar projection, vector projection, and orthogonal projection.

Determine the unit vector given a vector with angle and magnitude

Learn how to add/subtract vectors. Vectors can be added, subtracted and multiplied. To add or subtract two or more vectors, we simply add each of the corresponding components of the vectors.

With Pilot Mitchell’s help, Lotus Lang continues hunting for clues. Will she strike gold and pick up the lost trail? This lesson will lay the foundations for understanding acceleration and its close relationship with...

This is a lecture presentation on vector addition and multiplication by scalars. The video explains how to add and subtract two vectors, find the resultant vector using the triangle rule and the parallelogram law of vector addition, and...

The newest superhero on the block, Vector Man, faces his first challenge – a runaway train! This lesson will begin from the basics by introducing scalars and vectors.<br/>
Definitions included: scalar quantity, vector quantity

Master Applying operations to vectors that include the dot product

This video discusses vector multiplication and the different ways that vectors can be multiplied. The video covers three different methods of vector multiplication: scalar multiplication, dot product, and cross product. The video also...

It defines the transpose of a matrix. Further it states properties of transpose of a matrix.

It introduces and explains different types of matrices with examples.

Defining eigenvalues and eigenvectors, and outlining how to solve for them given a particular matrix.

How to perform linear transformations on vector spaces.