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...

This is a practice lesson/exercise to better understand the concept of skewness.

In this lesson, the author explains more about the mean and median and when to use them for the best results.

Create a boosted tree model to classify stars based on important characteristics.

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'...

During the COVID-19 lockdown, a headline went viral stating that nearly half of men claim to do most of the homeschooling, with only 3% of women agreeing. This sparked a discussion about egocentric bias, where individuals tend to...

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 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.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

In this video, we will work on multiplicative seasonality, outliers, and non-daily data with Prophet.
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This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook...

"Statistical Measures" explains mean, median, mode, mean absolute deviation, range, and interquartile range.

“Scatter Plots” will explain how to construct a scatter plot and use it to predict values.

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

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.

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,...

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 focuses on the cost of Kinesis analytics and explains how to use the RANDOM_CUT_FOREST function.
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This clip is from the chapter "Domain 4: Analysis" of the series "AWS Certified Data Analytics Specialty (2022)...

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.
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This clip is from the chapter "Appendix - Machine Learning Topics for...

Training and testing a regression model to predict the weight of the fish.

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,...

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...

Data engineers consolidate and prepare data for visualization, cleansing, scaling, and data division for training, validation, and testing.



Data Engineeri

ng: Part 1

Gathering data is the process...

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...

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,...

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...

This video explains how to handle outliers part 2.<br/<br/>>

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.