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Practical Data Science using Python - Linear Regression - Practical Approach
This video explains linear regression - practical approach. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Fundamentals of Neural Networks - Logistic Regression
This video explains logistic regression and specifically if the target here is discrete or binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Building Machine Learning Model from Scratch: Linear Regression from Scratch- Part 1
In this video, we will cover linear regression from scratch- part 1. 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
Fundamentals of Machine Learning - Classification
This video explains one of the most basic forms of classification, which is the logistic regression model. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - OPTIONAL Section- Mathematics Wrap-Up: Mathematical Wrap-Up on Machine Learning
In this video, we will cover mathematical wrap-up on machine learning. 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 - 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Occam's Razor
In this video, we will cover machine learning Occam's Razor. 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
Python - Object-Oriented Programming - Making Your Objects Callable
In this video, you will learn about the “_call_†method, which can be used to make an object callable. This clip is from the chapter "Magic Functions" of the series "Python - Object-Oriented Programming".This section demonstrates the...
Curated Video
Linear Modeling
What are linear models and when do we use them? Let's look at a few word problems that we need linear modeling to solve!
Curated Video
Statistical Regression Models and Predicting Values
This video discusses how to determine the best statistical regression model to approximate data within a scatter plot and make predictions through interpolation and extrapolation. It covers the process of inputting data into a graphing...
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Understanding Linear Models: Parts and Meanings
This video explains the different parts of a linear model, including the coordinate plane, slope, y-intercept, and types of lines. It helps viewers understand how to identify and interpret these components in a linear equation, using...
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Understanding Linear Models in Real World Situations
In this lesson, students will learn how to use linear models to understand and solve real-world situations and problems. They will explore the concepts of slope and Y-intercept and learn how these values relate to the context of the...
Curated Video
Determine Type of Slope by Analyzing Word Problems
In this video, Slope Guy is introduced as a helpful figure to determine the type of linear function in solving linear analysis problems. The video explains the importance of slope and y-intercept in a linear equation and how they can be...
Curated Video
Finding the Slope with Two Points
This video explains how to calculate the rate of change, or slope, for a linear model. It teaches the formula for finding slope using two points on the line and demonstrates examples of positive, negative, zero, and undefined slopes.
Curated Video
Solving Problems Using Linear Regression
In this lesson, students will learn how to use statistics to understand relationships between variables and solve problems using linear regression. They will explore real-world examples, such as the correlation between team batting...
Curated Video
Calculating Correlation Coefficient Using a Graphing Calculator
This video lesson teaches students how to calculate the correlation coefficient using a graphing calculator. It explains the conditions that must be met for linear correlation, the concept of residuals, and the relationship between the...
Curated Video
Finding and Analyzing Linear Equations with Slope and Y-Intercept
This video explains how to use a linear model to find the slope and y-intercept of a line. It demonstrates how to calculate the slope using the slope formula and analyze the direction of the line. It also shows how to find points on the...
Curated Video
Assessing the Appropriateness of a Linear Correlation Model
In this video, a teacher explains how to assess the appropriateness of a linear correlation model by checking three conditions: do the variables are quantitative? Does the scatterplot looks linear? And are there any outliers? Review...
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Interpreting Scatter Plots and Predicting Unobserved Data
In this video, the teacher explains how to use observed data to predict unobserved data using scatter plots and the line of best fit. They emphasize the importance of not letting outliers influence the line and demonstrate how to draw...