Your First Machine Learning Project - Crash Course - Train, Test and Split: This unforgivable mistake will cost your model's credibility

Welcome to the eighteenth video of the series "Build your First Machine Learning Project". This video is all about Train, Test and split your model. Let's understand it in deep. Chapters 00:00 Introduction 06:36 Applying Train test split 6:54 Method 1 7:45 Method 2 8:15 Method 3 9:50 Method 4 11:02 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 Scaling techniques: https://youtu.be/7XIREwmiVS0 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 15. Feature Encoding: https://youtu.be/VzN2havYquM 16. Target Encoding: https://youtu.be/hGAbsHWitwo 17. Bayesian Encoding: https://youtu.be/UAWPbnCUXVY 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