4-7. Missing Data Imputation (1) Mean & Median Imputation (Predictive Analytics by Machine Learning)

4-7. Missing Data Imputation (1) Mean & Median Imputation (Predictive Analytics by Machine Learning)

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4-7. Missing Data Imputation (1) Mean & Median Imputation (Predictive Analytics by Machine Learning)
- Theory: How to impute missing data. - Principles of simple imputation. - How to implement simple imputation by Python. Previous: https://youtu.be/1AYE57F9-94 Next: https://youtu.be/w1sVcGgFjh0 Playlist: https://www.youtube.com/playlist?list=PLnccJ9vccaGlC77PmUoPh2cUziN2k6yrs This course "Predictive Analytics by Machine Learning" explicates essential concepts and techniques ranging from foundational to advanced. It covers not only machine learning algorithms but also various concepts and methods for data preprocessing. This course will guide you step-by-step, equipping you with the skills to confidently apply machine learning to real-world predictive analytics. Instructor: Takuma Kimura (木村 琢磨), Ph.D. Scientist of Organizational Behavior and Analytics https://orcid.org/0000-0001-7126-188X https://www.linkedin.com/in/takuma-kimura-ba6242104/ #machinelearning #datascience #missingdata #missingvalue #imputation