Instructional Video34:05
Curated Video

Data Science and Machine Learning with R - Other Examples with R Shiny

Higher Ed
This video gives various examples with R shiny. This clip is from the chapter "Building Webapps with R Shiny" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains building...
Instructional Video16:35
Curated Video

Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Data Frame Transforms

Higher Ed
This video explains the data frame transforms feature in Elastic Stack. This clip is from the chapter "Analyzing Log Data with the Elastic Stack" of the series "Elasticsearch 7 and Elastic Stack - In Depth and Hands On".This section...
Instructional Video14:11
Curated Video

Python for Data Analysis: Step-By-Step with Projects - Modifying Values

Higher Ed
This video explains modifying values. This clip is from the chapter "Exploring Data" of the series "Python for Data Analysis: Step-By-Step with Projects".This section introduces you to exploring data.
Instructional Video30:10
TMW Media

Standard Deviation & Variance

K - 5th
This program covers the important topic of Standard Deviation and Variance in Probability and Statistics. We begin by discussing what Standard Deviation and Variance is and why it is important. Next, we solve several problems that...
Instructional Video15:29
Curated Video

Machine Learning Random Forest with Python from Scratch - Categorical to Numeric Conversion

Higher Ed
In a machine, it understands values in the form of numbers. You will learn how to convert non-numeric data to numeric without changing the feature of the value. This clip is from the chapter "Random Forest Step-by-Step" of the series...
Instructional Video23:38
Curated Video

Practical Data Science using Python - Linear Regression - Training and Cost Function

Higher Ed
This video explains linear regression - training and cost function. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Instructional Video1:41
Curated Video

No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Adding Data

Higher Ed
In this video, you will learn how to add the data. This clip is from the chapter "Project 3 - Customer Churn Prediction" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we will work on a...
Instructional Video5:29
NASA

A Candid Look at NASA's "Living Planet"

3rd - 11th
Creating a major scientific visualization takes considerable time and expertise. A team of scientists and data visualizers work together to building an artful depiction of hard data - whether it be an animation of sea surface...
Instructional Video9:08
IDG TECHtalk

How to use the new R pipe in R 4.1

Higher Ed
See the new pipe operator built into R 4.1 and how it differs from the maggritr pipe. Don't want to install 4.1 yet? Learn how to run R 4.1 in a Docker container.
Instructional Video17:34
Curated Video

Power BI Masterclass - Additional Time Intelligence for Your Power BI Toolbox

Higher Ed
In this video, we will cover additional time intelligence for your Power BI Toolbox. This clip is from the chapter "DAX, R, and Gateways" of the series "Power BI Masterclass".In this section, we will be covering DAX, R, and Gateways. In...
Instructional Video8:54
Curated Video

Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - [Exercise] Importing Data with Spark

Higher Ed
This video presents an exercise on importing data with Spark. This clip is from the chapter "Importing Data into Your Index (Big or Small)" of the series "Elasticsearch 7 and Elastic Stack - In Depth and Hands On".This section explains...
Instructional Video13:31
Curated Video

Selenium Python Automation Testing from Scratch and Frameworks - Parameterizing Tests with Multiple Datasets Using Fixtures

Higher Ed
This video demonstrates how to parameterize tests with multiple datasets using fixtures. This clip is from the chapter "Part I-Unit Testing Framework" of the series "Selenium Python Automation Testing from Scratch and Frameworks".This...
Instructional Video6:31
Curated Video

PySpark and AWS: Master Big Data with PySpark and AWS - Dataset

Higher Ed
In this session, we will explore the dataset and put the dataset in the DBFS of Databricks and read the data. This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with PySpark and...
Instructional Video8:25
Curated Video

Probability Statistics - The Foundations of Machine Learning - Application of Bayes Rule in the Real World - Spam Detection

Higher Ed
In this video, we will cover the application of the Bayes rule in a real-world example for spam detection. This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The Foundations...
Instructional Video3:45
Curated Video

No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Performing and Validating Predictions

Higher Ed
In this video, you will learn how to perform and validate predictions. This clip is from the chapter "Project 3 - Customer Churn Prediction" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we...
Instructional Video3:46
Curated Video

Describing Data (Part 2)

K - 12th
Describe a data distribution (number of observations, median, range, mode, maximum and minimum).
Instructional Video5:30
Curated Video

Creating a Box Plot: Representing Data on a Number Line

K - 5th
In this video, we learn how to create a box plot to represent data on a number line. Understand the concept of quartiles and explore how to find the minimum, maximum, and quartiles of a data set. By the end of the lesson, students will...
Instructional Video3:17
Curated Video

Create a machine learning model of a real-life process or object : Setting Up TensorFlow 2.0

Higher Ed
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 good...
Instructional Video11:19
msvgo

Median of Grouped Data

K - 12th
It explains how to compute the median of continuous frequency distribution and conversion of "less than" type and "more than" type data into cumulative frequency distribution.
Instructional Video10:06
Curated Video

Power BI Masterclass - Client Request - Filter Trick for Different Aggregations in Power BI

Higher Ed
In this video, we will cover the filter trick for different aggregations in Power BI. This clip is from the chapter "Additional Tips and Tricks" of the series "Power BI Masterclass".In this section, we will be covering some additional...
Instructional Video10:14
Curated Video

Comprehensive Android Developer Bootcamp - Android ROOM - Introduction

Higher Ed
Android Room – Alternative Database:Android ROOM - Introduction This clip is from the chapter "Android Room – Alternative Database" of the series "The Comprehensive Android Developer Bootcamp".This section will show you how to use the...
Instructional Video5:25
Curated Video

Alteryx for Beginners - Union Tool

Higher Ed
This video explains how to use the Union tool in Alteryx. This clip is from the chapter "Join Tab" of the series "Alteryx for Beginners".This section explores the Join tab.
Instructional Video7:10
Curated Video

PySpark and AWS: Master Big Data with PySpark and AWS - Finding Average-2

Higher Ed
Let's continue calculating the average movie ratings from the dataset in this session as well. This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on...
Instructional Video3:10
Curated Video

PySpark and AWS: Master Big Data with PySpark and AWS - Expected Results

Higher Ed
Let's discuss the expected results from the collaborative filtering in this session. This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section primarily...