Your First Machine Learning Project - Crash Course - Understanding Target Encoding for Categorical Features

Welcome to the seventeenth video of the series "Build your First Machine Learning Project". In this we'll see Target Encoding aka Mean Encoding. Target encoding is the process of replacing a categorical value with the mean of the target variable. Any non-categorical columns are automatically dropped by the target encoder model. Let's understand it in deep. Chapters 0:00 Intro to Target Encoding 1:12 Only two possible values 5:11 More than 2 categories 8:24 Numeric Data problem 11:30 Data Leakage 13:50 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: Feature Encoding in ML: ----https://youtu.be/VzN2havYquM----- 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 12. Mahalanobis distance: https://youtu.be/YY1lz8cOgH8 13. Cook's Distance: https://youtu.be/PVJYdMjfrAA 14. Isolation Forest: https://youtu.be/kqAxfOPlr1U 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