Brian McLogan
How to find three different representations of a polar point
How to find three different representations of a polar point
Brian McLogan
How do we represent subtracting vectors graphically and algebraically
Learn the basics of vector operations. Vectors can be added, subtracted and multiplied. To add or subtract two or more vectors, we add each of the corresponding components of the vectors. To multiply a scalar to a vector, we simply...
Brian McLogan
Graph the resultant vector of the difference of two vectors with a scalar
Learn how to determine the resultant vector by adding, subtracting and multiplying vectors by a scalar. We will also learn how to graph the resultant vectors to show the operations. Vectors can be added, subtracted and multiplied. To add...
Brian McLogan
Subtracting two vectors algebraically and graphically
Learn how to determine the resultant vector by adding, subtracting and multiplying vectors by a scalar. We will also learn how to graph the resultant vectors to show the operations. Vectors can be added, subtracted and multiplied. To add...
Flipping Physics
Introduction to Projectile Motion
My strategy for solving any projectile motion problem. You need to split the variables in to the x and y directions and solve for time. Sounds simple and it really is, usually.
Brian McLogan
How to graph and multiply a vector by it's resultant
Learn how to determine the resultant vector by adding, subtracting and multiplying vectors by a scalar. We will also learn how to graph the resultant vectors to show the operations. Vectors can be added, subtracted and multiplied. To add...
msvgo
Vector product of two vectors
This nugget explains about the vector product of two vectors using the concept of right hand rule and also the properties of a vector product.
Brian McLogan
What does the dot product tell us about orthogonal vectors
In this video series I will show you how to apply the dot product of two vectors and use the product to determine if two vectors are orthogonal or not. The dot product does not produce another vector like scalar multiplication but rather...
Math Fortress
Calculus III: Three Dimensional Vectors (Level 1 of 3)
This video covers Three Dimensional Vectors. This video goes over the various properties associated with three dimensional vectors. 3 basic examples are also covered illustrating how to solve problems that make use of vectors in space.
Brian McLogan
Applying the dot product with a scalar
Learn how to determine the dot product of vectors. The dot product of two vectors also called the scalar product of the vectors is the sum of the product of the components of the vectors in each direction. When the magnitudes of the...
Curated Video
Machine Learning Random Forest with Python from Scratch - Quick Implementation of Random Forest Model
Let's quickly implement Random Forest using the sklearn Random Forest model to tune the model's performance according to the project. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Curated Video
Machine Learning Random Forest with Python from Scratch - Feature Importance
After understanding features in a previous lesson, we will look at finding the most critical features' probability. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Closure of a Set
In this video, we will cover closure of a set. 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) A to...
Curated Video
Practical Data Science using Python - NumPy Arrays 2
This video explains returning the dot product of two arrays. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
Curated Video
Snowflake - Build and Architect Data Pipelines Using AWS - Introduction to User-Defined Functions and UDF Types
This video provides an Introduction to user-defined functions and UDF types. This clip is from the chapter "Snowflake – User-Defined Functions" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Data Preparation and Preprocessing: Data Standardization
In this video, we will cover data standardization. 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 section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Scikit-Learn for Machine Learning: Scikit-Learn for Linear Regression
In this video, we will cover Scikit-Learn for linear regression. 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 Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Vector Space
In this video, we will cover vector space. 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) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Linear Independence
In this video, we will cover linear independence. 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) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Linear Combinations
In this video, we will cover linear combinations. 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) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Coordinates Versus Dimensions
In this video, we will cover coordinates versus dimensions. 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...