meanxai
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17:40
[MXML-7-04] K-Means clustering [4/4] - Finding the optimal number of clusters: Elbow, Silhouette
meanxai
28 views • 2 days ago
17:26
[MXML-7-03] K-Means clustering [3/4] - Implement K-Means++ algorithm from scratch
meanxai
26 views • 5 days ago
15:08
[MXML-7-02] K-Means clustering [2/4] - Implement K-Means clustering from scratch
meanxai
99 views • 11 days ago
15:11
[MXML-7-01] K-Means clustering [1/4] - Basic algorithm for K-Means, Objective function
meanxai
37 views • 13 days ago
11:28
[MXML-6-10] Support Vector Machine (SVM) [10/10] - Nonlinear Support Vector Regression
meanxai
112 views • 2 weeks ago
20:24
[MXML-6-09] Support Vector Machine (SVM) [9/10] - Linear Support Vector Regression
meanxai
115 views • 2 weeks ago
14:45
[MXML-6-08] Support Vector Machine (SVM) [8/10] - Multiclass Classification: One-vs-Rest (OvR)
meanxai
81 views • 3 weeks ago
15:11
[MXML-6-07] Support Vector Machine (SVM) [7/10] - Multiclass Classification: One-vs-One (OvO)
meanxai
60 views • 3 weeks ago
15:01
[MXML-6-06] Support Vector Machine (SVM) [6/10] - Nonlinear SVM: Implementation
meanxai
33 views • 4 weeks ago
17:53
[MXML-6-05] Support Vector Machine (SVM) [5/10] - Nonlinear SVM: Kernel trick
meanxai
30 views • 4 weeks ago
13:23
[MXML-6-04] Support Vector Machine (SVM) [4/10] - Linear Soft Margin (2): Implementation
meanxai
25 views • 1 month ago
17:26
[MXML-6-03] Support Vector Machine (SVM) [3/10] - Linear Soft Margin (1)
meanxai
61 views • 1 month ago
15:33
[MXML-6-02] Support Vector Machine (SVM) [2/10] - Implementation of SVM by solving QP
meanxai
57 views • 1 month ago
18:50
[MXML-6-01] Support Vector Machine (SVM) [1/10] - Linear hard margin (1), Objective function and QP
meanxai
81 views • 1 month ago
18:37
[MXML-5-04] Convex Optimization [4/4] - Complementary Slackness, Slater's condition, KKT condition
meanxai
60 views • 1 month ago
14:35
[MXML-5-03] Convex Optimization [3/4] - Lagrangian Dual Method for solving quadratic programming
meanxai
66 views • 1 month ago
14:28
[MXML-5-02] Convex Optimization [2/4] - How to solve the EQP and IQP using Lagrange Method
meanxai
49 views • 1 month ago
16:46
[MXML-5-01] Convex Optimization [1/4] - Overview. Constrained LP, QP, and Graphical solutions
meanxai
79 views • 1 month ago
15:06
[MXML-4-05] Logistic Regression [5/5] - Locally Weighted Logistic Regression (LWLR)
meanxai
55 views • 1 month ago
20:06
[MXML-4-04] Logistic Regression [4/5] - Multinomial Logistic Regression or Softmax Regression
meanxai
123 views • 2 months ago
13:51
[MXML-4-03] Logistic Regression [3/5] - One-vs-Rest (OvR) multiclass classification
meanxai
44 views • 2 months ago
15:11
[MXML-4-02] Logistic Regression [2/5] - Implementing Logistic Regression, check the various results
meanxai
31 views • 2 months ago
16:20
[MXML-4-01] Logistic Regression [1/5] - Odds, Log-odds, MLE, Logistic function, Objective function
meanxai
89 views • 2 months ago
12:06
[MXML-3-07] Linear Regression [7/7] - Random Sample Consensus (RANSAC) (2)
meanxai
36 views • 2 months ago
12:06
[MXML-3-06] Linear Regression [6/7] - Random Sample Consensus (RANSAC) (1)
meanxai
43 views • 2 months ago
12:39
[MXML-3-05] Linear Regression [5/7] - Locally Weighted Regression (LWR)
meanxai
56 views • 2 months ago
15:47
[MXML-3-04] Linear Regression [4/7] - Total Least Squares (TLS)
meanxai
44 views • 2 months ago
14:07
[MXML-3-03] Linear Regression [3/7] - Mean-Centering and Feature-Scaling (Normalization)
meanxai
49 views • 2 months ago
16:12
[MXML-3-02] Linear Regression [2/7] - Overfitting and Regularization, LASSO and Ridge
meanxai
38 views • 2 months ago
13:29
[MXML-3-01] Linear Regression [1/7] - Ordinary Least Squares, MLE, R-Squared metric
meanxai
61 views • 2 months ago
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