This video explains the stop event propagation and error handling during app building.
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This clip is from the chapter "What's New in Blazor 3.1 Released with ASP.NET Core 3.1?" of the series "Build and Learn ASP.NET 6.0 Blazor...

I'm sure that we all agree that the best way to do data visualization is to use R programming, in particular, the ggplot2 package. To become an advanced ggplot user, you need to start controlling things like the titles, axis...

This video teaches about common nonfiction text features including title, table of contents, headings, captions, labels, photographs, glossary, and index. These videos are educational videos and lessons for kids. They teach and help kids...

In this video students will work with average monthly temperatures from two different cities. They will also create a data table and accompanying graph to identify changes in temperature throughout the year. This program correlates to...

By the end of this learning object, the student will be able to: Demonstrate light refraction and some related concepts.86717

This chemistry science project compares the protein content of plant-based milk to dairy milk.

In this lesson, we will look at a target or label as output data and feature, a measurable property or characteristic of an element.
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This clip is from the chapter "Introduction to Machine Learning" of the series "Machine...

In this lesson, we will dive into the hardcore process of machine learning and the fundamental elements used in machine learning, like datasets, training and testing data, outliers, models, and so on.
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This clip is from the...

In this video, we will get introduced to simple recurrent neural networks also called as Elman Unit.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep...

In this video, we will thoroughly test our pairs trading strategy using historical data, back-testing, forward-testing, and other techniques for assessing the robustness and effectiveness of our strategy in different market conditions...

Let's learn to write a classification method that will train our module and help us get predictions.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...

In this lesson, you will learn to create two classes, a leaf node and a decision node, with a constructor.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...

Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

Before creating a decision tree, we will first learn to import our dataset using Pandas.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...

Let's quickly implement Random Forest using the sklearn Random Forest model to tune the model's performance according to the project.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

You will learn about the different data formats in machine learning, including structured (labeled or unlabeled) and unstructured data, and how to choose the best format.
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This clip is from the chapter "Introduction to Machine...

In this video, we will explore different input types available in HTML5, including text, password, email, number, date, and more. You will learn to use these input types to capture specific types of user data.

In this video, you will learn to create HTML forms using the form tags. We will understand the role of form elements, such as input fields, checkboxes, radio buttons, and buttons, in collecting user input.

This video explains how to create a sign-in form to capture user details. This form is both dual use as it can be used for both sign in and sign up.
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This clip is from the chapter "Authentication" of the series "Vue.js 3 and...

In this exercise, you will load the food list file into Tableau and apply the data relationships to the two sheets using Food ID.

In this video, you will learn how to implement the multi-class classification model using Keras.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you...

In this video, we will talk about certain events and understand why we require entropy loss.
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This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk...

In this video, you delve into the world of Pandas in Python and gain expertise in working with Pandas Series, a fundamental component of Pandas.
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This clip is from the chapter "Python for Data Science - Crash Course" of the...

In this video, you will learn to apply some modifiers. We will create buttons with action and label with options to save the image to a photo album. We will also create an option for a new renderer to render the image.
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This...