A frequent activity in data science and machine learning is to develop correlations from data. By importing the data into MATLAB, data analysis such as statistics, trending, or calculations can be made to synthesize the information into...

This video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning

NO BS: Microsoft Excel 2016 Data Analysis Toolpak (On Windows)

From the section: Logistic Regression. Learn about Logistic Regression here.<b<br/>r/>

Logistic Regression: Assessing the Accuracy of a Classification Model

In this video, we will cover classification versus regression versus clustering machine learning types.
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This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900:...

Explore different types of Machine Learning and experiment with Teachable Machine

From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In...

From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be...

In this video, we will understand the learning objectives of this domain.
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This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900: Microsoft Azure AI Fundamentals...

From the section: Security Test Using Adversarial Attack. In this section, you will test any AI system against the latest attacks with the help of simple tools. The aim of this video is to give an overview of machine learning tasks. This...

Regression is the process of adjusting model parameters to fit a prediction to measured values. There are independent variables as inputs to the model to generate the predictions. For machine learning, the objective is...

In this video, you'll learn about regression tables.
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This clip is from the chapter "Subtleties of Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains the Markowitz...

Introduce and define the concept of unsupervised learning

This video explores the concept of cost behavior and its relevance to managerial judgment. The video introduces two common methods for assessing cost changes: the high-low method and regression analysis. The video emphasizes that...

In this video, we will cover machine learning algorithms. This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900: Microsoft Azure AI Fundamentals Video Course + Ques".In this...

In this demo video, we will work on automated machine learning.
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This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900: Microsoft Azure AI Fundamentals Video...

In this video, the third assumption of OLS, normality and homoscedasticity, are explained.
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This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business...

This video explains about decomposing the linear regression model - understanding its nuts and bolts.
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This clip is from the chapter "Subtleties of Regression Analysis" of the series "Statistics for Data Science and Business...

Introducing class 7 and Summarizing of the Covered Topics (Artificial Intelligence, Machine Learning, Supervised Learning, Natural Language Processing, Classification, Regression)

Training a regression model to predict candidates' salaries using a linear regression algorithm.

This video shows a practical example of regression analysis.
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This clip is from the chapter "Practical Example: Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains...

In this video, we explore a regression of the VORx1, gaze shifting, which is an adaptation exercise used to retrain gaze stabilization.

Learn about adjusted R-squared.
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This clip is from the chapter "Subtleties of Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains the Markowitz Portfolio theory,...

The Least Squares method is widely used to fit curves to data. This is called Least Squares regression. This video shows how to solve the ordinary least squares minimization problem for 1 unknown and 2 unknowns. In...