Your First Machine Learning Project - Crash Course - Isolation Forest: A Tree based approach for Outlier Detection (Clearly Explained)

Welcome to the fifteenth video of the series "Build your First Machine Learning Project". In this, we'll see Isolation Forest Algorithm for outlier detection. Isolation Forest is a simple yet incredible algorithm that is able to spot outliers or anomalies in the data. Let's understand how the Isolation forest algorithm for Outlier detection works. Chapters 0:00 Intro to Isolation Forest 2:10 How does Isolation forest algorithm work? 12:50 Implementing in Python 17:45 Conclusion In order to make the best out of this, please watch this series in the order in playlist: Build Your First ML Model Playlist: https://www.youtube.com/watch?v=KSsjPbowHQ0&list=PLFAYD0dt5xCymcvacfR4CLB9Pk_9L50gz Previous Lesson: Why mahalanobis distance is incredibly powerful for outlier detection : https://youtu.be/YY1lz8cOgH8 Earlier Lessons: 1. Build your first ML Project: https://youtu.be/KSsjPbowHQ0 2. How to Formulate ML Problem: https://youtu.be/ygayqatDEDk 3. Setup Python Environment: https://youtu.be/Yk9BFMO6QXE 4. Jupyter Notebook Tutorial: https://youtu.be/4yuo96HtTw8 5. What is ML Modeling: https://youtu.be/Bcfk4HKgC5E 6. Reduce the size of Pandas Dataframe: https://youtu.be/Xa26NB75htg 7. What is EDA: https://youtu.be/rqCZZBrfNak 8. How to impute missing Data: https://youtu.be/Qir0Qi_CD2o 9. Mice Imputation Algorithm: https://youtu.be/BjyUbk258o4 10. How to impute missing data in categorical Variables: https://youtu.be/dm7YNsN_Nwo 11. How to Detect Outliers with Z Score: https://youtu.be/Qv2vCviL4iU Let me know in the comments section if you have any questions! If you enjoyed this video, be sure to throw it a like and make sure to subscribe to not miss any future videos! Thanks for watching! #mlmodeling, #python, #machinelearning, #artificialintelligence, #pandas, #datascience