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Arithmetic Mean, Median and Mode
By the end of this learning object, the student will be able to: List Standard Deviants Teaching Systems4462
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Collecting and Organizing Data
By the end of this learning object, the student will be able to: Define Standard Deviants Teaching Systems.4461
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Mean Absolute Deviation MAD | 6.SP.3
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 way...
Science Buddies
Create an Urban Heat Island Profile Using ArcGIS Online
In this science project, you will explore Urban Heat Islands with ArcGIS Online and analyze surface type & air temperature relationships in your city.
Curated Video
Machine Learning: Random Forest with Python from Scratch - Labels and Features
In this lesson, we will look at a target or label as output data and feature, a measurable property or characteristic of an element. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random...
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Machine Learning: Random Forest with Python from Scratch - Outliers
Let's look at outliers, the data points of a dataset that differ from others and are usually excluded by visualizing a dataset. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random...
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Machine Learning: Random Forest with Python from Scratch - Dataset
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. This clip is from the chapter...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Text Preprocessing
In this video, we will work on text preprocessing. 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 about Natural...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Code Preparation (NLP)
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. This clip is from the chapter "Natural Language Processing (NLP)" of the...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Embeddings
In this video, we will understand what embedding is. 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 about Natural...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 2)
In this video, we will work on a more conventional prediction called stock return. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural Networks...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 1)
In this video, we will understand why one-step prediction on stock price is misleading and unconventional. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning -...
Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Image Classification (Code)
In this video, you will learn how to preform RNN for image classification on the MNIST dataset. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Demo of the Long-Distance Problem
In this video, we will understand how LSTMs work for resolving a long-distance problem. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural...
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Deep Learning - Recurrent Neural Networks with TensorFlow - A More Challenging Sequence
In this video, you will learn how to preform time series prediction with a complex signal. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural...
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Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Time Series Prediction
In this video, we will do the same forecasting exercise that we did with an autoregressive liner model, but with a simple RNN instead. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of...
Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - Autoregressive Linear Model for Time Series Prediction
In this video, we will dive into coding and learn about the autoregressive linear model for time series prediction. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep...
Curated Video
Financial Analysis - Build a ChatGPT Pairs Trading Bot - How to Code Yourself (Part 1)
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...
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Modern JavaScript from the Beginning - Second Edition - Typicode Todos Mini-Project - Part 2
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 responses....
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Machine Learning: Random Forest with Python from Scratch - Concluding remarks
In this video, we will look at the concluding remarks of the course and recap what we learned through the course, briefly. This clip is from the chapter "Conclusion" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Accuracy and Error-2
In this video, you will learn to implement the accuracy method to help determine our model's performance. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Best Slip
Here, we will determine the best split at any decision node where information is maximum and split into two branches, true and false. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
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Machine Learning: Random Forest with Python from Scratch - Information Gain
In this video, we will define columns for questioning and determine how much information can be gained by splitting a column. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
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Machine Learning: Random Forest with Python from Scratch - Impurity
Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...