MLOPs: ML based Face Recognition Web App in Flask & Deploy | Udemy
Face Recognition Web App with Machine Learning in Flask Coupon / Udemy For tow days completely 100% Free during everything you want to know Create an Face Recognition (AI) project from scratch with Python, OpenCV , Machine Learning Algorithms and Flask
This course is written by the very popular author from Udemy Data Science Anywhere Team The most recent update was 8/2021. The language of this course is English, but also have sub-titles (captions) in English [US] languages to better understand. This course is shared under the categories IT Certifications, Machine Learning
More than 6,541 students had already enrolled. in the Face Recognition Web App with Machine Learning in Flask Coupon / Udemy Which makes it one of the more popular courses on Udemy. You can free coupon Code the course from the registration link below. It has a rating of 4.2 given by (230 ratings), which also makes it one of the highest rated courses at Udemy.
The Udemy Face Recognition Web App with Machine Learning in Flask free coupons also 9.5 hours on demand video, 7 articles, 9 downloadable, resources, full lifetime, access on mobile and television, assignments, completion certificate and many more.
Is this course right for you?
If you are wondering what you will learn or what things this best Udemy courses will teach you after getting courses Udemy free coupon. Learn Face Recognition Web App with Machine Learning in Flask: Okay, here are a few things.
- 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
If you are wondering what you will learn or what things this best Udemy courses will teach you after getting courses Udemy free coupon. Learn Face Recognition Web App with Machine Learning in Flask: Okay, here are a few things.
- 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
Requirements Course:
- Should be at-least beginner level in Python
- Be able to understand HTML and CSS
- Basic Understanding of Machine Learning Concepts
- Should be at-least beginner level in Python
- Be able to understand HTML and CSS
- Basic Understanding of Machine Learning Concepts
Description Course:
Face Recognition Web Project using Machine Learning in Flask Python
Face recognition is one of the most widely used in my application. If at all you want to develop and deploy the application on the web only knowledge of machine learning or deep learning is not enough. You also need to know the creation of pipeline architecture and call it from the client-side, HTTP request, and many more. While doing so you might face many challenges while developing the app. This course is structured in such a way that you can able to develop the face recognition based web app from scratch.
What you will learn?- Python
- Image Processing with OpenCV
- Image Data Preprocessing
- Image Data Analysis
- Eigenfaces with PCA
- Face Recognition Classification Model with Support Vector Machines
- Pipeline Model
- Flask (Jinja Template, HTML, CSS, HTTP Methods)
- Finally, Face recognition Web App
You will learn 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 the Grid search method for the best hyperparameters.
Once our machine learning model is ready, will we learn and develop a 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.
- Python
- Image Processing with OpenCV
- Image Data Preprocessing
- Image Data Analysis
- Eigenfaces with PCA
- Face Recognition Classification Model with Support Vector Machines
- Pipeline Model
- Flask (Jinja Template, HTML, CSS, HTTP Methods)
- Finally, Face recognition Web App
What I am going to 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.
- 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.
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