What you'll learn

Automatic Face Recognition in images and videos
Automatically detect faces from images and videos
Evaluate and Tune Machine Learning
Building Machine Learning Model for Classification
Make Pipeline Model for deploying your application
Image Processing with OpenCV
Data Preprocessing for Images
Create REST APIs in Flask
Template Inheritance in Flask
Integrating Machine Learning Model in Flask App

Requirements

Should be at-least beginner level in Python
Be able to understand HTML and CSS
Basic Understanding of Machine Learning Concepts

Description

In this course, you will learn end to end process and able to build any artificial intelligence Project. Starting from

Gathering the data,

Data Understanding

Data Preprocessing

Data Analysis

Predictive Modelling

Create REST APIs in Flask

You will image processing techniques in OpenCV and the concepts behind the images. We will also do the necessary image analysis and required preprocessing steps for images.

For the preprocess images, we will extract features from the images, ie. computing Eigen images using principal component analysis. With Eigen images, we will train the Machine learning model and also learn to test our model before deploying, to get the best results from the model we will tune with Grid search method for best hyperparameters.

Once our machine learning model is ready, will we learn and develop web server gateway interphase in flask by rendering HTML CSS and bootstrap in the frontend and in the backend written in Python. Finally, we will create the project on the Face Recognition project by integrating the machine learning model to Flask App.

Who this course is for:

Any one who want to learn image processing and build data science applications
Beginners on Python who want to data science project
Who want to start their career in artificial intelligence and data science
Data science beginner who want to build end to end data science project

Citación :

rapidgator_net:
https://rapidgator.net/file/4602655fbae9da09bca5bc8de3b2ee16/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part1.rar.html
https://rapidgator.net/file/90192ada668a83dc58537a88098b538b/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part2.rar.html
https://rapidgator.net/file/934a3481bc2aa1407b8c254a1a935478/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part3.rar.html
https://rapidgator.net/file/0c2432b5ef05669c5b1b0e22c9ae970a/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part4.rar.html

nitroflare_com:
https://nitroflare.com/view/7013C696290C8FB/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part1.rar
https://nitroflare.com/view/E5E47C9E890F594/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part2.rar
https://nitroflare.com/view/C5E64A02B52D9E5/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part3.rar
https://nitroflare.com/view/84ABCF812BE495F/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part4.rar

alfafile_net:
http://alfafile.net/file/8Qp9Q/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part1.rar
http://alfafile.net/file/8Qp9e/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part2.rar
http://alfafile.net/file/8Qp9F/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part3.rar
http://alfafile.net/file/8Qp9g/y426q.Face.Recognition.Web.App.with.Machine.Learning.in.Flask.part4.rar