Anomaly detection in time series with Python Data Science with Marco

>> DIRECT DOWNLOAD LINK 🎞️ #1 <<

>> DIRECT DOWNLOAD LINK 🎞️ #2 <<

>> COPY / PASTE LINK PLEASE 🎞️ #3 <<

>> COPY / PASTE LINK PLEASE 🎵 MP3 <<

YOUR LINK HERE:

http://youtube.com/watch?v=qy41dXGbAxY

A hands-on lesson on detecting outliers in time series data using Python. • Full source code: https://github.com/marcopeix/youtube_... • Dataset can be found here: https://github.com/numenta/NAB/blob/m... • Labels can be found here: https://github.com/numenta/NAB/blob/m... • Chapters: • Introduction - 0:00 • Get the data - 4:11 • Robust Z-score method - 9:08 • Robust Z-score method (code) - 13:12 • Isolation forest - 20:48 • Isolation forest (code) - 22:33 • Local outlier factor - 27:16 • Local outlier factor (code) - 31:21 • Thank you - 34:01

#############################