Section 1 : Introduction
Lecture 1 Promo Video 00:00:45 Duration
Lecture 2 Course Outline 00:06:29 Duration
Lecture 3 Support Vector Machine 00:04:38 Duration
Lecture 4 Neural Networks 00:11:11 Duration
Lecture 5 Optimization
Lecture 6 P vs
Lecture 7 Metaheuristics 00:02:42 Duration

Section 2 : Genetic Algorithm
Lecture 1 PLEASE READ
Lecture 2 Genetic Algorithm #1 00:02:34 Duration
Lecture 3 Genetic Algorithm #2 00:07:31 Duration
Lecture 4 Genetic Algorithm #3 00:04:34 Duration
Lecture 5 Genetic Algorithm - Pseudocode and Flowchart 00:12:25 Duration
Lecture 6 Genetic Algorithm - Methodology 00:09:33 Duration
Lecture 7 The Purpose of Genetic Algorithm 00:04:49 Duration

Section 3 : Dataset
Lecture 1 Dataset 00:01:55 Duration
Lecture 2 Dataset

Section 4 : Support Vector Machine Optimization for a Regression Problem
Lecture 1 Updated Course (IMPORTANT)
Lecture 2 SVM Optimization #1 - Objective Function Value #1 00:05:39 Duration
Lecture 3 SVM Optimization #2 - Objective Function Value #2 00:07:01 Duration
Lecture 4 SVM Optimization #3 - Objective Function Value #3 00:10:47 Duration
Lecture 5 SVM Optimization #4 - Objective Function Value #4 00:10:47 Duration
Lecture 6 SVM Optimization #5 - Objective Function Value #5 (and the Dataset) 00:15:14 Duration
Lecture 7 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 8 SVM Optimization #6 - Objective Function Value #6 00:13:36 Duration
Lecture 9 SVM Optimization #7 - Objective Function Value #7 00:15:21 Duration
Lecture 10 SVM Optimization #8 - Selecting Parents #1
Lecture 11 SVM Optimization #9 - Selecting Parents #2 00:06:06 Duration
Lecture 12 SVM Optimization #10 - Selecting Parents #3 00:09:53 Duration
Lecture 13 SVM Optimization #11 - Selecting Parents #4 00:02:19 Duration
Lecture 14 SVM Optimization #12 - Crossover Operator #1 00:04:40 Duration
Lecture 15 SVM Optimization #13 - Crossover Operator #2 00:05:59 Duration
Lecture 16 SVM Optimization #14 - Crossover Operator #3 00:09:30 Duration
Lecture 17 SVM Optimization #15 - Crossover Operator #4 00:09:10 Duration
Lecture 18 SVM Optimization #16 - Mutation Operator #1 00:04:53 Duration
Lecture 19 SVM Optimization #17 - Mutation Operator #2 00:11:32 Duration
Lecture 20 SVM Optimization #18 - Mutation Operator #3 00:07:02 Duration
Lecture 21 SVM Optimization #19 - Functions and Packages
Lecture 22 SVM Optimization #20 - Optimizing SVM on the Dataset #1
Lecture 23 SVM Optimization #21 - Optimizing SVM on the Dataset #2 00:12:10 Duration
Lecture 24 SVM Optimization #22 - Optimizing SVM on the Dataset #3 00:07:33 Duration
Lecture 25 SVM Optimization #23 - Optimizing SVM on the Dataset #4 00:08:02 Duration
Lecture 26 SVM Optimization #24 - Optimizing SVM on the Dataset #5 00:06:38 Duration
Lecture 27 SVM Optimization #25 - Optimizing SVM on the Dataset #6 00:08:08 Duration
Lecture 28 SVM Optimization #26 - Optimizing SVM on the Dataset #7 00:12:39 Duration

Section 5 : Multilayer Perceptron Neural Network Optimization for a Regression Problem
Lecture 1 Updated Course Reminder (IMPORTANT)
Lecture 2 MLP Optimization #1
Lecture 3 MLP Optimization #2 00:09:58 Duration
Lecture 4 MLP Optimization #3 00:06:32 Duration
Lecture 5 MLP Optimization #4 00:06:50 Duration
Lecture 6 MLP Optimization #5 00:08:18 Duration
Lecture 7 MLP Optimization #6 00:02:21 Duration

Section 6 : Support Vector Machine Optimization for a Classification Problem
Lecture 1 SVM Optimization 00:10:01 Duration

Section 7 : Feature Selection Using Genetic Algorithm
Lecture 1 Feature Selection #1 00:03:28 Duration
Lecture 2 Feature Selection #2 00:05:20 Duration
Lecture 3 Feature Selection #3 00:07:00 Duration

Section 8 : BONUS OFFER!!
Lecture 1 About Certification

Section 9 : Appendix
Lecture 1 Machine Learning 00:09:15 Duration