Section 1 : Introduction
Lecture 1 Introduction copy 00:02:43 Duration
Lecture 2 Face Recognition Project Components 00:01:37 Duration
Lecture 3 Installing Python 00:03:10 Duration
Lecture 4 Install and Create Virtual Environment 00:03:43 Duration
Lecture 5 Installing OpenCV and Dependencies

Section 2 : Python Crash Course
Lecture 1 Walk through on Jupyter Notebook 00:20:15 Duration
Lecture 2 Download the Resources
Lecture 3 Print Statements 00:07:13 Duration
Lecture 4 Escape and Insert keys 00:11:01 Duration
Lecture 5 Variables & Assignments 00:02:41 Duration
Lecture 6 Data Types
Lecture 7 Data Type Casting 00:04:55 Duration
Lecture 8 List
Lecture 9 List Methods 00:06:18 Duration
Lecture 10 Tuple 00:04:59 Duration
Lecture 11 Sets 00:03:45 Duration
Lecture 12 Dictionaries 00:09:45 Duration
Lecture 13 in operator 00:02:56 Duration
Lecture 14 plus operator 00:02:48 Duration
Lecture 15 User Defined Functions 00:08:02 Duration
Lecture 16 Control Statements (if else) 00:07:17 Duration
Lecture 17 Range & Zip 00:04:43 Duration
Lecture 18 For Loop 00:04:53 Duration
Lecture 19 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM

Section 3 : Image Processing with OpenCV
Lecture 1 Introduction 00:01:53 Duration
Lecture 2 Understanding Images 00:11:17 Duration
Lecture 3 Display Images and Depth in Image 00:16:46 Duration
Lecture 4 Understanding Image Pixels - Part 1 00:06:03 Duration
Lecture 5 Understanding Image Pixels - Part 2 00:05:47 Duration
Lecture 6 Image Resizing 00:06:11 Duration
Lecture 7 Object Detection 00:10:07 Duration
Lecture 8 Working on Videos 00:09:26 Duration

Section 4 : Build Face Recognition Model with Machine Learning
Lecture 1 Machine Learning Pipeline Architecture 00:01:59 Duration
Lecture 2 Data Understanding 00:02:37 Duration
Lecture 3 Crop Faces from Image Data 00:20:21 Duration
Lecture 4 Dealing with Unstructured Data (Faces) - part1 00:08:46 Duration
Lecture 5 Dealing with Unstructured Data (Data Analysis) - part2 00:13:03 Duration
Lecture 6 Dealing with Unstructured Data - part3 00:15:47 Duration
Lecture 7 Data Preprocessing 00:12:29 Duration
Lecture 8 Eigen Faces with Principal Component Analysis - part1 00:14:30 Duration
Lecture 9 Eigen Faces with PCA - part2 00:06:12 Duration
Lecture 10 Train Eigen Faces with Machine Learning Model 00:05:36 Duration
Lecture 11 Model Evaluation 00:18:05 Duration
Lecture 12 Tuning Machine Learning Model - part1 00:05:51 Duration
Lecture 13 Tuning Machine Learning Model - part2 00:05:31 Duration
Lecture 14 Make Pipeline Model (all together) 00:31:30 Duration

Section 5 : Flask App
Lecture 1 Introduction
Lecture 2 Installing Flask and Visual Studio Code 00:07:31 Duration
Lecture 3 Your First Flask App 00:03:47 Duration
Lecture 4 Flask Routing 00:06:16 Duration
Lecture 5 URL Building 00:07:44 Duration
Lecture 6 Flask Templates - Part 1 00:08:05 Duration
Lecture 7 Flask Templates - Part 2 00:12:26 Duration
Lecture 8 Flask Templates - Part 3 00:13:55 Duration
Lecture 9 Template Inheritance 00:10:48 Duration
Lecture 10 Static Files
Lecture 11 Http Methods in Flask 00:14:19 Duration
Lecture 12 File Upload in Flask 00:17:08 Duration

Section 6 : Face Recognition Project (Integrating HTML Model to Flask App)
Lecture 1 Face Recognition Project Overview 00:02:21 Duration
Lecture 2 Build Base HTML Part-1 00:07:26 Duration
Lecture 3 Build Base HTML Part-2
Lecture 4 Face App Page 00:10:03 Duration
Lecture 5 Gender Classification Page - Part 1 00:15:48 Duration
Lecture 6 Gender Classification Page - Part 2 00:05:04 Duration
Lecture 7 Integrating Machine Learning Model to Flask App 00:15:57 Duration

Section 7 : Extra Tips
Lecture 1 About Certification
Lecture 2 About Proctor Testing