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4-24. Outlier Treatment
17:52
4-24. Outlier Treatment
9-5 How Vector Norms Shape AI Decisions－Practical Applications of Inner Product (Linear Algebra)
6:44
9-5 How Vector Norms Shape AI Decisions－Practical Applications of Inner Product (Linear Algebra)
4-23. Outlier Detection by Shrinkage Covariance Matrix (SCM) Part 2
8:29
4-23. Outlier Detection by Shrinkage Covariance Matrix (SCM) Part 2
9-4. Inner Product & Vector Norm (Linear Algebra for Data Science)
12:28
9-4. Inner Product & Vector Norm (Linear Algebra for Data Science)
4-22. Outlier Detection by Shrinkage Covariance Matrix (SCM) Part 1
10:52
4-22. Outlier Detection by Shrinkage Covariance Matrix (SCM) Part 1
9-3. Inner Product (Linear Algebra for Data Science)
7:20
9-3. Inner Product (Linear Algebra for Data Science)
4-21. Outlier Detection by MCD (Minimum Covariance Determinant)
14:56
4-21. Outlier Detection by MCD (Minimum Covariance Determinant)
9-2. Dot Product (Part 2)―Properties & Applications (Linear Algebra for Data Science)
9:01
9-2. Dot Product (Part 2)―Properties & Applications (Linear Algebra for Data Science)
4-20. Multivariate Outlier Detection by Mahalanobis Distance Part 2
10:55
4-20. Multivariate Outlier Detection by Mahalanobis Distance Part 2
9-1. Dot Product (Part 1) (Linear Algebra for Data Science)
9:50
9-1. Dot Product (Part 1) (Linear Algebra for Data Science)
4-19. Multivariate Outlier Detection by Mahalanobis Distance Part 1
14:37
4-19. Multivariate Outlier Detection by Mahalanobis Distance Part 1
8-5. Systems of Linear Equations and Linear Regression (Linear Algebra for Data Science)
6:54
8-5. Systems of Linear Equations and Linear Regression (Linear Algebra for Data Science)
4-18. Q-Q Plot: Advanced Univariate Outlier Detection
6:55
4-18. Q-Q Plot: Advanced Univariate Outlier Detection
8-4. Determinant and Non Trivial Solutions (Linear Algebra for Data Science)
6:49
8-4. Determinant and Non Trivial Solutions (Linear Algebra for Data Science)
4-17. Robust Z-score & Winsorization: Advanced Methods for Univariate Outlier Detection Part 2
8:03
4-17. Robust Z-score & Winsorization: Advanced Methods for Univariate Outlier Detection Part 2
8-3. LU Decomposition (Linear Algebra for Data Science)
13:10
8-3. LU Decomposition (Linear Algebra for Data Science)
8-2. Gaussian elimination (Linear Algebra for Data Science)
6:25
8-2. Gaussian elimination (Linear Algebra for Data Science)
4-16 Advanced Methods for Univariate Outlier Detection Part 1: Trimmed Mean, Median, MAD
7:59
4-16 Advanced Methods for Univariate Outlier Detection Part 1: Trimmed Mean, Median, MAD
8-1. Systems of Linear Equations (Linear Algebra for Data Science)
7:43
8-1. Systems of Linear Equations (Linear Algebra for Data Science)
4-15. Common Pitfall in Outlier Detection (Predictive Analytics by Machine Learning)
10:13
4-15. Common Pitfall in Outlier Detection (Predictive Analytics by Machine Learning)
7-6. Cofactor Expansion (Linear Algebra for Data Science)
4:49
7-6. Cofactor Expansion (Linear Algebra for Data Science)
4-14. Outlier Detection (Predictive Analytics by Machine Learning)
11:35
4-14. Outlier Detection (Predictive Analytics by Machine Learning)
7-5. Properties of Determinants (Linear Algebra for Data Science)
8:38
7-5. Properties of Determinants (Linear Algebra for Data Science)
4-13. Rubin's Rule: Missing Data in Your Dataset? Fix It with Rubin’s Rule!
11:04
4-13. Rubin's Rule: Missing Data in Your Dataset? Fix It with Rubin’s Rule!
7-4. How Inverse Matrices Help Solve Multiple Regression Models (Linear Algebra for Data Science)
8:54
7-4. How Inverse Matrices Help Solve Multiple Regression Models (Linear Algebra for Data Science)
Theory of Planned Behavior
10:03
Theory of Planned Behavior
4-12. Mutiple Imputation by Python (Missing Data Imputation Part 6)
12:31
4-12. Mutiple Imputation by Python (Missing Data Imputation Part 6)
7-3. What Is an Inverse Matrix and Why Does It Matter in Data Science?
9:53
7-3. What Is an Inverse Matrix and Why Does It Matter in Data Science?
4-11. Multiple Imputation: Missing Data Imputation (Part 5)
13:51
4-11. Multiple Imputation: Missing Data Imputation (Part 5)
7-2. Transposed Matrix & Linear Regression: Linear Algebra for Data Science
8:18
7-2. Transposed Matrix & Linear Regression: Linear Algebra for Data Science