Instructional Video3:16
Curated Video

Python for Deep Learning - Build Neural Networks in Python - Splitting the Dataset into Independent and Dependent Variables

Higher Ed
In this video, you will learn how to split the dataset into independent and dependent variables. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in...
Instructional Video5:03
Curated Video

Statistics for Data Science and Business Analysis - The Linear Regression Model Made Easy

Higher Ed
In this video, you will learn about the linear regression model. This clip is from the chapter "The Fundamentals of Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section includes fundamentals...
Instructional Video4:58
Curated Video

Rate of Photosynthesis Experiments: Analyzing the Relationship between Light Intensity and Photosynthesis

Higher Ed
The video is a lecture presentation on the results of an experiment investigating the relationship between light intensity and the rate of photosynthesis in pondweed. The experiment involved placing pondweed in a dilute solution of...
Instructional Video3:52
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Exploring the Dataset

Higher Ed
In this video, we will first explore our dataset, then learn how to import and read our dataset in Python. This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's...
Instructional Video1:19
Curated Video

Python for Deep Learning - Build Neural Networks in Python - Exploring the Dataset

Higher Ed
In this video, you will learn how to explore the dataset. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will learn how to...
Instructional Video5:55
Curated Video

Machine Learning Random Forest with Python from Scratch - Introduction to the Final Project

Higher Ed
In this video, we will discuss our final project, which classifies the titanic dataset using Random Forest. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
Instructional Video11:24
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Univariate Analysis

Higher Ed
This video explains univariate analysis. This clip is from the chapter "SAS Model – Predictive Modeling, Understanding the Problem and the Data" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This...
Instructional Video4:31
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - The Major Steps in Predictive Modeling

Higher Ed
This video explains the major steps in predictive modeling. This clip is from the chapter "Introduction to SAS Predictive Modeling Using Logistic Regression" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data...
Instructional Video8:02
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Logistic Macro, Case Study – Part 1

Higher Ed
This is the first of the two-part video that will talk in-depth about a Macro example based on logistic regression. This clip is from the chapter "Macro Facility Fundamentals" of the series "Complete SAS Programming Guide - Learn SAS and...
Instructional Video9:53
Catalyst University

NO BS: Multiple Regression Excel Tutorial

Higher Ed
NO BS: Multiple Regression Excel Tutorial
Instructional Video3:59
Curated Video

Linear Relationships

9th - Higher Ed
Linear function is a relationship between two variable where, when one variable changes by a certain amount, the other changes by a set amount. Let's examine the elements of a linear function and look at examples.
Instructional Video7:17
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Logistic Macro, Case Study – Part 2

Higher Ed
This is the second of the two-part video that will talk in-depth about a Macro example based on logistic regression. This clip is from the chapter "Macro Facility Fundamentals" of the series "Complete SAS Programming Guide - Learn SAS...
Instructional Video1:14
Curated Video

Python for Machine Learning - The Complete Beginners Course - K-Nearest Neighbors (KNN) Using Python

Higher Ed
In this video, we will cover K-Nearest Neighbors (KNN) using Python. This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
Instructional Video7:07
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Important Housekeeping

Higher Ed
This video talks about important housekeeping. This clip is from the chapter "SAS Model – Predictive Modeling, Understanding the Problem and the Data" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data...
Instructional Video3:27
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Doing an Independent Samples T-Test Analysis

Higher Ed
Independent samples t-test is one of the more common tests that businesses and corporations do for their data analysis. The author will show you how to run this test on SAS. This clip is from the chapter "Statistical Analysis" of the...
Instructional Video14:56
Curated Video

The Methods of Biology (Section 1.2)

Higher Ed
In this section, I talk about the scientific method, controlled experiments, scientific tools, Theories and laws.
Instructional Video4:36
Curated Video

Interpret Slope Using Line of Best Fit

K - 5th
In this lesson, students will learn how to use data and the line of best fit to predict the impact of additional study hours on test scores. They will understand that an exact relationship between variables guarantees a specific outcome,...
Instructional Video4:10
Brian McLogan

Find the rate of Change given a table

12th - Higher Ed
👉 Learn how to find the rate of change from a table of values. The rate of change of a set of data listed in a table of values is the rate with which the y-values are changing with respect to the x-values. To find the rate of change from...
Instructional Video11:38
Curated Video

Thermal Insulators Experiments: Comparing the Effectiveness of Different Materials

9th - Higher Ed
This is a lecture presentation about an experiment to compare the effectiveness of different materials as thermal insulators. The presenter introduces the concept of thermal insulation and explains how the experiment is set up. They show...
Instructional Video6:53
Why U

Algebra 18 - Multivariable Functions

12th - Higher Ed
Although many familiar functions process a single input variable to produce a single output value, multivariable functions can be created whose output depends upon multiple input variables.
Instructional Video3:13
Curated Video

Comparing Rates of Speed: Proportional Relationships Between Distance and Time

K - 5th
In this lesson, students learn how to compare rates of speed by analyzing equations that represent proportional relationships between distance and time. By finding the unit rate and dividing the distance by the time, they can determine...
Instructional Video1:40
Curated Video

Statistics for Data Science and Business Analysis - A1. Linearity

Higher Ed
In this video, the first assumption of OLS, linearity, is explained. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains OLS...
Instructional Video10:32
Math Fortress

Calculus III: Three Dimensional Coordinate Systems (Level 3 of 10)

12th - Higher Ed
This video continues the exploration of a three dimensional Cartesian coordinate system. This video goes over 5 examples covering the proper way to graph equations in R cubed. Equations covered include planes, cylinder, and parabolic...
Instructional Video7:44
Curated Video

Exploring Patterns and Writing Explicit Expressions

K - 5th
In this video, the teacher explains how to define an explicit expression by exploring patterns. They demonstrate how to find the rate of change and initial value in linear equations, and use these values to write the explicit expression.