Understanding Cooks Distance to detect influential observations

Описание: Welcome to the fourteenth video of the series "Build your First Machine Learning Project". In this, we'll see cook's distance for outlier detection.

Notebook Link: https://github.com/machinelearningplu...

Cook’s distance, is used in Regression Analysis to find influential outliers in a set of predictor variables. In other words, it’s a way to identify points that largely impacts the observation values / predictions.

The measurement is a combination of each observation’s leverage and residual values; the higher the leverage and residuals, the higher the Cook’s distance.

So let's understand it in brief.

Chapters

0:00 Intro to Cooks Distance
1:58 First step
4:15 Second Step
9:22 Implementing in Python
14:58 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:    • Build Your FIRST Machine Learning Project ...  

Previous Lesson:
Why mahalanobis distance is incredibly powerful for outlier detection :    • Why mahalanobis distance is incredibly pow...  

Earlier Lessons:
1. Build your first ML Project:    • Build Your FIRST Machine Learning Project ...  
2. How to Formulate ML Problem:    • Build Your First ML Project part 2:  How t...  
3. Setup Python Environment:    • Setup Python Environment using ANACONDA  
4. Jupyter Notebook Tutorial:    • Jupyter Notebook Tutorial - How to Install...  
5. What is ML Modeling:    • What is ML Modeling? (Problem statement an...  
6. Reduce the size of Pandas Dataframe:    • Reduce the memory size of Pandas Dataframe...  
7. What is EDA:    • Exploratory Data Analysis (EDA) - Use thes...  
8. How to impute missing Data:    • How to handle missing data for machine lea...  
9. Mice Imputation Algorithm:    • Multiple Imputation by Chained Equations (...  
10. How to impute missing data in categorical Variables:    • How to impute missing data in categorical ...  
11. How to Detect Outliers with Z Score:    • How to Detect Outliers with Z Score | Clea...  

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