Isolation Forest for Outlier Detection within Python

Isolation Forest is a popular unsupervised machine learning algorithm for detecting anomalies (outliers) within datasets. Anomaly detection is a crucial part of any machine learning and data science workflow. Erroneous values that are not identified early on can result in inaccurate predictions from machine learning models, and therefore impact the interpretation of those results. The code and data for this video can be found as part of my Petrophysics & Python Series on Github: https://github.com/andymcdgeo/Petrophysics-Python-Series Direct Notebook Link: https://github.com/andymcdgeo/Petrophysics-Python-Series/blob/master/33%20-%20Auto%20Outlier%20Detection%20-%20Isolation%20Forest.ipynb Data Folder: https://github.com/andymcdgeo/Petrophysics-Python-Series/tree/master/Data ⭐️ If you haven't already, make sure you subscribe to the channel: https://www.youtube.com/channel/UCn1O_4_ApzbYwrsUdRoMmOg?sub_confirmation=1 ▼ SUPPORT THE CHANNEL▼ ☕️ BUY ME A COFFEE: https://www.buymeacoffee.com/andymcdonaldgeo ▼ RECOMMENDED BOOKS ▼ As an Amazon Associate I earn from qualifying purchases. By buying through any of the links below I will earn commission at no extra cost to you. PYTHON FOR DATA ANALYSIS: Data Wrangling with Pandas, NumPy, and IPython UK: https://amzn.to/3HNycJ9 US: https://amzn.to/3DL7qPv FUNDAMENTALS OF PETROPHYSICS UK: https://amzn.to/3l1PgSf PETROPHYSICS: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties UK: https://amzn.to/30UNWZS US: https://amzn.to/3DNqBbd WELL LOGGING FOR EARTH SCIENTISTS UK: https://amzn.to/3FHsbfn US: https://amzn.to/3CILAuE GEOLOGICAL INTERPRETATION OF WELL LOGS UK: https://amzn.to/3l2v2HV US: https://amzn.to/30UOTkU ▼ ---- SOCIAL CHANNELS ---- ▼ Thanks for watching, if you want to connect you can find me at the links below: https://andymcdonaldgeo.medium.com/ https://twitter.com/geoandymcd https://www.linkedin.com/in/andymcdonaldgeo/ https://www.andymcdonald.scot/ #datascience #petrophysics #python #eda #datascience