Section 1 : Introduction

Lecture 1 Promo Video 0:45
Lecture 2 Course Outline 6:29
Lecture 3 Support Vector Machine 4:38
Lecture 4 Neural Networks 11:11
Lecture 5 Optimization
Lecture 6 P vs Text
Lecture 7 Metaheuristics 2:42

Section 2 : Genetic Algorithm

Lecture 8 PLEASE READ Text
Lecture 9 Genetic Algorithm #1 2:34
Lecture 10 Genetic Algorithm #2 7:31
Lecture 11 Genetic Algorithm #3 4:34
Lecture 12 Genetic Algorithm - Pseudocode and Flowchart 12:25
Lecture 13 Genetic Algorithm - Methodology 9:33
Lecture 14 The Purpose of Genetic Algorithm 4:49

Section 3 : Dataset

Lecture 15 Dataset 1:55
Lecture 16 Dataset Text

Section 4 : Support Vector Machine Optimization for a Regression Problem

Lecture 17 Updated Course (IMPORTANT) Text
Lecture 18 SVM Optimization #1 - Objective Function Value #1 5:39
Lecture 19 SVM Optimization #2 - Objective Function Value #2 7:1
Lecture 20 SVM Optimization #3 - Objective Function Value #3 10:47
Lecture 21 SVM Optimization #4 - Objective Function Value #4 10:47
Lecture 22 SVM Optimization #5 - Objective Function Value #5 (and the Dataset) 15:14
Lecture 23 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 24 SVM Optimization #6 - Objective Function Value #6 13:36
Lecture 25 SVM Optimization #7 - Objective Function Value #7 15:21
Lecture 26 SVM Optimization #8 - Selecting Parents #1
Lecture 27 SVM Optimization #9 - Selecting Parents #2 6:6
Lecture 28 SVM Optimization #10 - Selecting Parents #3 9:53
Lecture 29 SVM Optimization #11 - Selecting Parents #4 2:19
Lecture 30 SVM Optimization #12 - Crossover Operator #1 4:40
Lecture 31 SVM Optimization #13 - Crossover Operator #2 5:59
Lecture 32 SVM Optimization #14 - Crossover Operator #3 9:30
Lecture 33 SVM Optimization #15 - Crossover Operator #4 9:10
Lecture 34 SVM Optimization #16 - Mutation Operator #1 4:53
Lecture 35 SVM Optimization #17 - Mutation Operator #2 11:32
Lecture 36 SVM Optimization #18 - Mutation Operator #3 7:2
Lecture 37 SVM Optimization #19 - Functions and Packages
Lecture 38 SVM Optimization #20 - Optimizing SVM on the Dataset #1
Lecture 39 SVM Optimization #21 - Optimizing SVM on the Dataset #2 12:10
Lecture 40 SVM Optimization #22 - Optimizing SVM on the Dataset #3 7:33
Lecture 41 SVM Optimization #23 - Optimizing SVM on the Dataset #4 8:2
Lecture 42 SVM Optimization #24 - Optimizing SVM on the Dataset #5 6:38
Lecture 43 SVM Optimization #25 - Optimizing SVM on the Dataset #6 8:8
Lecture 44 SVM Optimization #26 - Optimizing SVM on the Dataset #7 12:39

Section 5 : Multilayer Perceptron Neural Network Optimization for a Regression Problem

Lecture 45 Updated Course Reminder (IMPORTANT) Text
Lecture 46 MLP Optimization #1
Lecture 47 MLP Optimization #2 9:58
Lecture 48 MLP Optimization #3 6:32
Lecture 49 MLP Optimization #4 6:50
Lecture 50 MLP Optimization #5 8:18
Lecture 51 MLP Optimization #6 2:21

Section 6 : Support Vector Machine Optimization for a Classification Problem

Lecture 52 SVM Optimization 10:1

Section 7 : Feature Selection Using Genetic Algorithm

Lecture 53 Feature Selection #1 3:28
Lecture 54 Feature Selection #2 5:20
Lecture 55 Feature Selection #3 7:0

Section 8 : BONUS OFFER!!

Lecture 56 About Certification Pdf

Section 9 : Appendix

Lecture 57 Machine Learning 9:15