In this R Programming tutorial, we explore the str_detect() function from the stringr package, a key tool in the Tidyverse for pattern detection within text data. Learn how to efficiently identify and work with specific patterns in your...

Welcome to a closer look at the gtExtras package in R! In this video, we'll explore how to enhance your data tables with the powerful and flexible features provided by the gtExtras package. Whether you're a data analyst, data scientist,...

A collection of pieces of information, organised and categorised for some purpose.
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A Twig Science
Glossary Film.
Key scientific terms defined in just 60 seconds using stunning images and concise textual...

By the end of this learning object, the student will be able to: List Standard Deviants Teaching Systems4462

By the end of this learning object, the student will be able to: Define Standard Deviants Teaching Systems.4461

When doing linear regression, it is important to include right right variables in your model. Multiple regression differs from simple linear regression in that more than one explanatory variable is used in the model. Master variable...

When doing linear regression or multiple regression, your data may have outliers. Outliers are data points where the residual values are far from the model. In this video we explore how to identify outliers and discuss what to do when...

Welcome to Math Defined! In this video, we're diving into the world of Mean Absolute Deviation (MAD) and exploring its importance in understanding data variability. Join us as we break down this fundamental statistical concept in a...

In this science project, you will explore Urban Heat Islands with ArcGIS Online and analyze surface type & air temperature relationships in your city.

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...

Let's look at outliers, the data points of a dataset that differ from others and are usually excluded by visualizing a dataset.
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This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning:...

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 work on text preprocessing.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this section, we will talk...

In this video, you will learn how to write the code to turn a sequence of words into an acceptable format such that they can be converted into a matrix of numbers.
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This clip is from the chapter "Natural Language Processing...

In this video, we will understand what embedding is.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this section, we will talk...

In this video, we will work on a more conventional prediction called stock return.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent...

In this video, we will understand why one-step prediction on stock price is misleading and unconventional.
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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, you will learn how to preform RNN for image classification on the MNIST dataset.
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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 understand how LSTMs work for resolving a long-distance problem.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent...

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 do the same forecasting exercise that we did with an autoregressive liner model, but with a simple RNN instead.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence...

In this video, we will dive into coding and learn about the autoregressive linear model for time series prediction.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the...

In this video, you will learn to write Python code from scratch for financial analysis with ChatGPT using pairs trading strategies. This video will cover fundamental coding concepts such as data types, variables, loops, conditional...

In this video, we will continue building our Todo list app by adding the ability to delete todos and update their status. We will also cover how to use the PUT and DELETE methods in Fetch and how to handle success and error...