From the course: Machine Learning with Data Reduction in Excel, R, and Power BI
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Numerosity
From the course: Machine Learning with Data Reduction in Excel, R, and Power BI
Numerosity
- [Instructor] The definition of numerosity is a large number. In the case of the data we're using for our course project, we're working with a lot of data points in our model. But how many data points are we working with? Let's take a look at some visuals both in Excel and R to see exactly what numerosity means. Our NOAA weather dataset that we're using in the course project contains data from 25 of the major US metropolitan areas. Even just opening the CSV file, which I converted to an Excel file, we see it contains over 700,000 rows or records. It also contains fields of various weather data points, like temperatures, rainfall and many others. Weather datasets are great ways to learn about machine learning algorithms because they're both consistent year over year by city and they also contain fluctuations in the form of outliers and anomalies. Let's look at our data trends on a high level and start to think about…
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Contents
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AI and machine learning7m 1s
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Numerosity7m 50s
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Dimensionality6m 3s
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Aggregating or grouping data10m 56s
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Histograms6m 18s
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Binning5m 8s
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Correlation and covariance9m 45s
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Challenge: Getting the data1m 15s
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Solution: Getting the data2m 23s
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