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Walk through an example using historical weather data to predict damage costs of future storm events. You’ll learn how to prepare your data and train and test your model.
6:27
Predictive Modeling
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MATLAB enables you to analyze and visualize your data in a fraction of the time it would take using spreadsheets or traditional programming languages.
3:25
Analyzing and Visualizing Data with MATLAB
I have some data showing how many people come into and leave a group over time. I wanted to see the retention of members from one month to the next. Using area plots I was able to make a “stacked area plot” to get the visualization I wanted.
3:40
Visualizing Retention Data over Time in MATLAB
I was working with a MATLAB user that had a large number of data points in the form of x,y,z triples. He was mostly interested in the density of these data points over the range of the data. At first he tried to just do a scatter plot, but there was
4:31
Visualizing the Density of a Data Cloud
Continuing with the random walk data: We will be bootstrap sampling the prior data to get estimates of what the next series of samples could look like.
3:37
Visualizing Random Walk Data, Part 3
In this video we start with some data from a random process. Each piece of data represents a small time period and change in value. Think of it as something like a stock ticker, very noisy with a larger trend upward. From the patterns in this random
3:39
Visualizing Random Walk Data, Part 1

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