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RichardOnData

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About RichardOnData

Knowledge and education are important. But you DON'T have to have multiple PhD's in mathematics, computer science, and statistics -- as well as working knowledge of C++, Java, Python, and Hadoop in order to get MOST data science jobs.

On this channel, I want to help make both getting a data science job and acquiring the skills and thought processes you need a lot simpler and easier than that. I post here at least once a week with videos on: my own experiences in data science, on what's happening in the data science industry, practical applied statistics tutorials, R programming tutorials, and explain concepts so that you can understand them and use them! (Whether that's in the job you have now, the job you're trying to get, or for entertainment.)

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Latest Video

Classification Metrics Explained | Sensitivity, Precision, AUROC, & More

by RichardOnData

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Classification Metrics Explained | Sensitivity, Precision, AUROC, & More

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About RealtimeSubCount.com

RealtimeSubCount.com tracks live YouTube subscriber activity with a faster page shell, local caching, and analytics modules that do not block the main counter from loading. This page is designed to keep the count visible first while the deeper charts and supporting widgets stream in behind it.

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The page combines cached API data and fast refresh polling to stay responsive while still tracking changes closely. Exact public YouTube counts can lag, but the page updates far more frequently than the default channel view.

The chart appends new subscriber readings every few seconds. That gives you a rolling growth trace instead of a static count snapshot.

Yes. The embed panel on this page includes both the iframe snippet for websites and the direct URL for OBS or other browser-source tools.