Instructional Video11:59
Crash Course

Regression - Crash Course Statistics

12th - Higher Ed
Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM). GLMs allow us to create many different models to help describe the world - you see them a lot in science, economics, and...
Instructional Video4:30
Curated Video

Getting the Best Value from Experience (and the Myth of 10,000 hours)

10th - Higher Ed
There is a Myth... It's the myth of 10,000 hours. But how can you get the best value from experience? I'll tell you. In his book, 'Outliers' (https://geni.us/UQKsq8N), Malcolm Gladwell discusses how 10,000 hours of practice is what it...
Instructional Video4:44
Curated Video

Machine Learning: Random Forest with Python from Scratch - Outliers

Higher Ed
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...
Instructional Video9:13
Curated Video

Machine Learning: Random Forest with Python from Scratch - Outliers Removal

Higher Ed
In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Instructional Video10:21
Curated Video

Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Multiplicative Seasonality, Outliers, Non-Daily Data

Higher Ed
In this video, we will work on multiplicative seasonality, outliers, and non-daily data with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in...
Instructional Video9:06
Curated Video

Measures of Central Tendency

3rd - Higher Ed
"Statistical Measures" explains mean, median, mode, mean absolute deviation, range, and interquartile range.
Instructional Video4:17
Curated Video

Scatter Plots

K - 8th
“Scatter Plots” will explain how to construct a scatter plot and use it to predict values.
Instructional Video3:22
Curated Video

R Programming for Statistics and Data Science - Skewness

Higher Ed
This video explains skewness. This clip is from the chapter "Exploratory Data Analysis" of the series "R Programming for Statistics and Data Science".This section explains exploratory data analysis.
Instructional Video3:21
Curated Video

Identifying Patterns in a Scatter Plot

9th - 12th
In this video, the teacher explains how to identify patterns and associations in a scatter plot using a standardized math test question as an example. The viewer is guided through each answer choice and taught to recognize outliers,...
Instructional Video6:18
Curated Video

R Programming for Statistics and Data Science - Building a Box and Whiskers Plot with ggplot2

Higher Ed
This video explains building a box and whiskers plot with ggplot2. This clip is from the chapter "Visualizing Data" of the series "R Programming for Statistics and Data Science".This section explains visualizing data.
Instructional Video2:23
Curated Video

AWS Certified Data Analytics Specialty 2021 – Hands-On - Kinesis Analytics Costs; RANDOM_CUT_FOREST

Higher Ed
This video focuses on the cost of Kinesis analytics and explains how to use the RANDOM_CUT_FOREST function. This clip is from the chapter "Domain 4: Analysis" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this...
Instructional Video6:25
Curated Video

AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Amazon Machine Learning, Part 2

Higher Ed
This video is the second part of the two-part video that explains how to predict order quantities with a linear regression from Amazon machine learning. This clip is from the chapter "Appendix - Machine Learning Topics for the Legacy AWS...
Instructional Video17:20
Fun Robotics

Weight Prediction Model

Higher Ed
Training and testing a regression model to predict the weight of the fish.
Instructional Video18:00
Schooling Online

IB Chemistry: Reliability Part 2

3rd - Higher Ed
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,...
Instructional Video14:53
APMonitor

Data Cleansing

10th - Higher Ed
Measurements from sensors or from human input can contain bad data that negatively affects machine learning. This tutorial demonstrates how to identify and remove bad data with Numpy and Pandas. Data cleansing is the process of removing...
Instructional Video5:39
APMonitor

Data Engineering Overview

10th - Higher Ed
Data engineers consolidate and prepare data for visualization, cleansing, scaling, and data division for training, validation, and testing. Data Engineering: Part 1 Gathering data is the process of consolidating disparate data (Excel...
Instructional Video7:20
Curated Video

Understanding the Impact of Outliers on Data Analysis

K - 5th
In this video, Miss Culp's Honors English class of 25 students had to read 10 assigned books over the summer. The video discusses how outliers can affect the shape, center, and spread of data, comparing their impact to the effect of...
Instructional Video18:27
Schooling Online

Physics Skills: Reliability Part 2

3rd - Higher Ed
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,...
Instructional Video5:15
KnowMo

Lines of Best Fit and Predictions in Scatter Graphs

12th - Higher Ed
The video is a tutorial that explains how to draw lines of best fit on scatter graphs to identify correlation between two variables and make predictions based on the trend of the data. The video demonstrates examples of scatter graphs...
Instructional Video15:57
Curated Video

Python for Data Analysis: Step-By-Step with Projects - Handling Outliers (2)

Higher Ed
This video explains how to handle outliers part 2. This clip is from the chapter "Cleaning Data" of the series "Python for Data Analysis: Step-By-Step with Projects".This section introduces you how to clean the data.
Instructional Video3:10
Curated Video

Mastering Tableau 2018.1, Second Edition 8.4: Clustering Data in Tableau

Higher Ed
In this video, we’ll see how to cluster data in Tableau. • Understand clusters • Implement clustering in Tableau
Instructional Video14:01
Curated Video

The Meaning Behind Scatter Plot

9th - 12th
In this video lesson, students will gain an intuitive understanding of how to construct and interpret scatter plots. This lesson explains that a scatter plot shows the relationship between two data sets. Students will find that there may...
Instructional Video18:30
Schooling Online

Chemistry Skills: Reliability Part 2

3rd - Higher Ed
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 liable to the errors and imperfections of mortals? This lesson will elaborate on the concept of reliability, including...
Instructional Video10:52
KnowMo

Introduction to Summary Statistics

12th - Higher Ed
This video is an introduction to summary statistics, which are used to summarize data sets into meaningful information. The video discusses the two main criteria that summary statistics should meet, which are that they should be...