#### 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