Create plots that are animated using ggplot2 and the gganimate packages in R. If you're learning data visualization using R programming then you'll love this tutorial. In this video Greg Martin will walk you through the code to create...

Did you know that navigating by using the Moon, Sun, and other stars is called celestial navigation?
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People and places - Mapping - Ma
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ping the seas


A Twig Tidbit Film - Did you know? A fascinating...

Learn about the Gunpowder Plot of the 5th of November and Guy Fawkes, one of the plotters who helped plan the attack on the British Parliament.

On January 27, 1606, Guy Fawkes and his seven co-conspirators were tried for their role in the Gunpowder Plot. All eight were found guilty and sentenced to be hanged, drawn, and quartered, with Fawkes executed last to maximize his...

On November 3rd, the conspirators decided to proceed with their plot to blow up the English Parliament despite growing suspicions. Guy Fawkes was discovered in the cellar with gunpowder on the night of November 4th and arrested,...

The Gunpowder Plot conspirators made slow progress tunneling under Parliament, but a fortunate discovery of a vacant undercroft above their tunnel allowed them to store gunpowder closer to their target. Despite challenges, including...

Guy Fawkes, born in York around 1570, had a Protestant father and Catholic mother. His father died when Guy was a child and he came to identify strongly with the Catholic side of his family, which was increased by his education at a...

Of all the monarchs to sit on the British throne in the modern era, few are as infrequently discussed as King William IV. It's a real shame, because the stories of his life are a real gas. Only the most dedicated of royal historians...

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, you will learn how to preform time series prediction with a complex signal.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning -...

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 understand how to benchmark our pairs trading strategy against a buy-and-hold approach, a benchmark in trading and investing, and learn to interpret and analyze the performance of our pairs trading strategy relative to a...

Let's explore different performance metrics used to evaluate the effectiveness of our pairs trading strategies, such as risk-adjusted returns, drawdowns, and other relevant indicators, and learn to correctly measure and interpret these...

This video demonstrates data visualization using the Matplotlib function and explains data cleaning by removing outliers and filling in missing values.
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This clip is from the chapter "Random Forest Step-by-Step" of the series...

In this video, you will learn how to modify arrays in JavaScript. You will learn how to modify a specific element of an array using bracket notation.
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This clip is from the chapter "Data Structures - From Zero to Intermediate"...

This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters.
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This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This...

In this video, you will learn how to solve a regression problem using the Boston housing dataset.
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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 have an in-depth look at different activation functions provided in the TensorFlow library using Google Colab.
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This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of...

In this video, we will write a program in Python to understand linear separation of data.
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This clip is from the chapter "Deep Neural Networks" of the series "Deep Learning - Crash Course 2023".In this section, we will try to...

In this video, we will start working on data standardization with Sigmoid.
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This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn...

In this video, you will learn how to manually fit data.<br<br/>/>

This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.

In this video, you will learn how to use graphs to visualize the accuracy of your deep learning model with increasing epochs. You will also be given an assignment to test your understanding.
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This clip is from the chapter...

In this video, you will learn about Sigmoid intuition.<br<br/>/>

This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.

In this video, we will be introduced to Sigmoid Neuron.<br<br/>/>

This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.