Have you ever wondered why certain data points stand out so dramatically? They might hold the key to everything from fraud detection to groundbreaking discoveries. This week on Talk Python to Me, we dive into the world of outlier detection with Python with Brett Kennedy. You’ll learn how outliers can signal errors, highlight novel insights, or even reveal hidden patterns lurking in the data you thought you understood. We’ll explore fresh research developments, practical use cases, and how outlier detection compares to other core data science tasks like prediction and clustering. If you're ready to spot those game-changing anomalies in your own projects, stay tuned. 
 
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<h2 class="links-heading">Links from the show</h2>
<div>Data-morph: <a href="https://github.com/stefmolin/data-morph?featured_on=talkpython" target="_blank" >github.com</a> 
PyOD: <a href="https://github.com/yzhao062/pyod?featured_on=talkpython" target="_blank" >github.com</a> 
Prophet: <a href="https://github.com/paullo0106/prophet_anomaly_detection?featured_on=talkpython" target="_blank" >github.com</a> 
Episode transcripts: <a href="https://talkpython.fm/episodes/transcript/497/outlier-detection-with-python" target="_blank" >talkpython.fm</a> 
 
--- Stay in touch with us --- 
Subscribe to Talk Python on YouTube: <a href="https://talkpython.fm/youtube" target="_blank" >youtube.com</a> 
Talk Python on Bluesky: <a href="https://bsky.app/profile/talkpython.fm" target="_blank" >@talkpython.fm at bsky.app</a> 
Talk Python on Mastodon: <a href="https://fosstodon.org/web/@talkpython" target="_blank" >talkpython</a> 
Michael on Bluesky: <a href="https://bsky.app/profile/mkennedy.codes?featured_on=talkpython" target="_blank" >@mkennedy.codes at bsky.app</a> 
Michael on Mastodon: <a href="https://fosstodon.org/web/@mkennedy" target="_blank" >mkennedy</a> </div>

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