Curated Video
Python for Machine Learning - The Complete Beginners Course - Introduction to Regression
In this video, we will have a quick introduction to regression. This clip is from the chapter "Simple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover simple...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Logistic Regression Versus Linear Regression
In this video, we will cover logistic regression versus linear regression. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Machine Learning Model 2
In this video, we will cover machine learning model 2. 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...
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - AWS Glue Studio
This video focuses on AWS Glue studio. This clip is from the chapter "Domain 3: Processing" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, we will complete our “order history app†example by...
Curated Video
Fundamentals of Machine Learning - Support Vector Machine (SVM) - Lectures
This video explains the support vector machine called SVM and its introduction. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...
Curated Video
Fundamentals of Machine Learning - Support Vector Machine (SVM) - Labs
This video explains a lab session on Support Vector Machines or SVM. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear regression, ridge...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Types
In this video, we will cover machine learning model types. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Brian McLogan
What are Additive Inverses
👉 Learn all about the processes and definitions for solving linear equations. You will gain a better understanding about the vocabulary and steps used to solve liner equations such as how to isolate an equation and apply inverse...
Professor Dave Explains
Visualizing Molecular Geometry With 3D Software
We've already learned about VSEPR theory, and how to use it to predict the shapes of various molecules. But we didn't cover all of the molecular geometries for certain hybridizations, and we didn't talk about bond angles, so let's do...
Brian McLogan
Summary for solving a literal equation
👉 In this playlist, you will learn how to solve a literal equation. We will work through solving literal equations from formulas as well as equations of a line. When solving literal equations we will be isolating a given variable by...
KnowMo
Equations of a Straight Line from Coordinates
This video provides a lecture on how to calculate the equation of a straight line using coordinates. The presenter explains the formula for a linear graph, which is Y = MX + C, where M is the gradient and C is the Y-intercept. The video...
Brian McLogan
How to the Remaining Factors When Given One Factor of a Polynomial
👉 Learn how to find all the zeros of a polynomial given one rational zero. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. The zeros of a...
Brian McLogan
How to Find the Zeros of a Cubic Trinomial by Factoring
👉 Learn how to find all the zeros of a polynomial. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. The zeros of a polynomial are the values...
Brian McLogan
How division relate to linear factorization and zeros
👉 Learn how to divide polynomials using the long division algorithm. To be able to solve a polynomial, we need to be able to get the factors and hence the zeros. To get the factors, we use the rational zeros theorem to get one of the...
Brian McLogan
You Have To Know How To Divide These Polynomials
When students are first learning how to divide polynomials it is important to start your learning off right by working through basic examples to get the problems right.
Brian McLogan
Solving a Polynomial by Factoring to Find Zeros & Determine Multiplicity
👉 Learn how to find all the zeros of a polynomial in the form of the difference of two squares. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive...
Brian McLogan
Learn How to Find the Remaining Factors When Only Given One With Fractions
👉 Learn how to find all the zeros of a polynomial given one rational zero. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. The zeros of a...
Curated Video
Practical Data Science using Python - Logistic Regression - Logit Model
This video explains logistic regression - Logit model. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Seaborn for Data Visualization: Seaborn Catplot
In this video, we will cover Seaborn Catplot. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization 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 - Building Machine Learning Model from Scratch: Linear Regression from Scratch- Part 2
In this video, we will cover linear regression from scratch- part 2. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Regression Practice with Python
In this video, we will cover regression practice with Python. 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,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Linearity Exercise
In this video, we will cover machine learning model linearity exercise. This clip is from the chapter "Deep learning: Artificial Neural Networks 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 - Introduction to Machine Learning: Machine Learning Model Linearity
In this video, we will cover machine learning model linearity. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Machine Learning Model 3
In this video, we will cover machine learning model 3. 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...