This video explains building a box and whiskers plot with ggplot2.<br<br/>/>

This clip is from the chapter "Visualizing Data" of the series "R Programming for Statistics and Data Science".This section explains visualizing data.

This video explains ggplot2.<br<br/>/>

This clip is from the chapter "Visualizing Data" of the series "R Programming for Statistics and Data Science".This section explains visualizing data.

This video explains how to select the visualization types in Amazon QuickSight.
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This clip is from the chapter "Domain 5: Visualization" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section,...

From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML.



An Introduction to Machine...

From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a...

This video explains a simple linear regression model.
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This clip is from the chapter "Linear Regression: A Simple Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This...

Interpolation constructs new prediction points from a discrete set of known data points. There are many types of interpolation such as nearest neighbor (piecewise constant), linear, polynomial, cubic spline, and basis...

Robin Hood has a flawless track record. That is, until he completely misses the mark one day! Does this spell the end of his successful career? This lesson will wrap up our discussion of reliability by examining the effects of outliers...

We know that Robin Hood is an accurate and reliable archer, but just how good is he? Is his aim god-like, or is he subject to the errors and imperfections of mortals? This lesson will continue investigating the concept of reliability,...

Robin Hood has a flawless track record. That is, until he completely misses the mark one day! Does this spell the end of his successful career? This lesson will wrap up our discussion of reliability by examining the effects of outliers...

Learn how to write an exponential equation using data given as a graph. The lesson covers scenarios where the Y-intercept is known or unknown, and provides step-by-step instructions on how to determine the explicit equation.

Logistic regression is a machine learning algorithm for classification. In this algorithm, the probabilities describing the possible outcomes of a single trial are modeled using a logistic function. Logistic regression...

Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete levels such as a letter from text recognition, or a word from speech recognition. There are two main methods for...

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...

This is the first lecture of this course that talks about some history, from where we started, and where are we going with the data processing. Here, you will learn about the Big Data problem and how it started. This lesson will...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

In this video, the teacher explains how to find the center of data sets using mean and median. They provide examples and equations to calculate both measures of center, and discuss when it is appropriate to use mean or median based on...

International Space Station Program Chief Scientist Kirt Costello talks about some of the interesting new research underway in Earth’s orbiting laboratory right now, and shares results of earlier experiments that are already making a...

This video emphasizes the importance of including titles and labels to clearly communicate the data being represented. The video also addresses common misunderstandings, such as confusing frequencies with data values. Overall, it...

The Inaugural Conference @ King's, Institute for New Economic Thinking, Session 7:<b<br/>r/>

The Consequences of Inequality a<br/>nd Wealth Distribution

How can we "fill in" the data points between discrete data? How can we extend beyond our data points? • Learn linear interpolation • Learn polynomial interpolation • See the dangers of extrapolation

Data visualisation is easy when you use ggplot. Ggplot2 is package and forms part of the tidyverse group of packages in R. Ggplot is used to create amazing plots and graphs. In this video I talk you though how to visualise two numeric...

From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB...

The Scipy curve_fit function determines two unknown coefficients (dead-time and time constant) to minimize the difference between predicted and measured response values. Pandas imports the data and the dataframe header is...