Python Web Service API Practical Project - Money-Making Digital Marketing

Hello, Nomad Creator students?
Happy New Year to all of you and I hope 2022 will be a year in which all your wishes come true.
How was your 2021? I was very busy with various government projects and AI projects while working on startups in Korea and Singapore.
Meanwhile, we successfully funded the English content titled `THE UPGRADE: DEEP LEARNING FOR COMPUTER VISION` on Kickstarter, an overseas cloud funding platform, by gathering deep learning image processing technology. It was a meaningful attempt that recognized our knowledge overseas.
We developed the content and started funding for an e-book titled “Data Science, Machine Learning/Deep Learning, and Image Processing in One Book” at Wadiiz.

Click here to apply for funding!!

This is what prompted me to prepare for this course.

I have been sharing various data science lectures with you since 2019, starting with `Python 100-minute Core Lecture`, `Python Data Visualization Analysis Practical Project`, `Python Machine Learning Complete Conquest`, `Keras Artificial Intelligence Common Language`, `Python Deep Learning Complete Conquest`, `Python Deep Learning Image Processing Project - Find Son Heung-min`, `Raspberry Pi IoT Deep Learning Computer Vision Practical Project`, `Mobile Deep Learning Computer Vision Practical Project`, `OpenCV Python Deep Learning Image Fairy Project 2 - Find Bad Apples`. I started it with the intention of organizing and sharing the technologies I accumulated while carrying out projects, and I have received an overwhelming amount of love from you all.

Click here to apply for funding!!

As I opened the course and received good opinions from you all, I felt the need to create new codes over time due to the nature of IT lectures. As I was giving online lectures, I also had to worry about the problem of how much time and effort it takes to install programs and solve problems.

So, we gathered all the contents of the course into one, reflected the opinions of the students, upgraded the code to the latest version, and reorganized it into a Google Colab environment that does not require program installation to create an e-book that covers everything from data science to machine learning/deep learning and image processing in one volume.

Click here to apply for funding!!

It will be of great help to study the newly upgraded content by reading the e-book along with the lecture.
Thank you always for your love and support.
Stay healthy everyone!

Hello, Nomad Creator students?

Now that we're used to wearing masks, it seems like COVID-19 prevention has become a part of our daily lives. I hope you're all staying healthy.

I created a new course called ' Deep Learning Web Service Project 1 - Basics. Object Detect Defective Product Identification' .

We have summarized the techniques used to service deep learning using mobile web apps used in actual artificial intelligence image recognition projects. These days, many people want to service codes made with Python, TensorFlow, Keras, YOLO, and OpenCV directly on mobile.

We'll learn step by step how to make this.

[OpenCV] Python Deep Learning Image Processing Project - Find Son Heung-min! YOLO object recognition program created in the process

[OpenCV] Python Deep Learning Image Processing Project 2 - Find the Bad Apples! Using the Custom Yolo Model Created in the Process to Identify Bad Products

This is a service that identifies objects (Object Detection) by taking pictures directly from the desktop web or mobile app.

As a follow-up, we are also preparing a deep learning web service project that uses face recognition technology to identify faces, age, and gender and manage access.

Deep Learning Web Service Project 1 - Basics. Object Detect Defective Product Discrimination Please show lots of love!

Hello, Nomad Creator students?

every Stay healthy Rich Chuseok Holiday Please send it I hope so.

As I work on an artificial intelligence deep learning project these days, the knowledge I've shared while studying over the past two years has been of great help.

However, on the other hand, I also feel like I want to organize the past lectures more systematically in this rapidly changing environment.

So I took courage and decided to create two e-books by combining the contents of existing online lectures and the latest knowledge I have newly acquired.

It is currently being funded on Wadiiz.

We will continue to work hard to provide assistance to those who have taken related courses or are interested in them.

We ask for your continued support and encouragement.

The first book is 'Easy for Developers to Learn! From Data Science to Machine Learning'.

From Python data visualization to complete mastery of TensorFlow machine learning, to Keras, the common language of artificial intelligence

Kaggle Boston Marathon data analysis and useful content on the theory and practice of machine learning

We've collected them all into an e-book that you can keep for a lifetime.

If you would like to support us, please click here!

The second book is 'Machine Learning, Deep Learning Computer Vision Mastery by Experts'.

[OpenCV] Python deep learning image processing project, [Mobile][Raspberry Pi IoT] deep learning project, etc.

We are gathering all the knowledge from various field projects and putting it into a book.

We hope for your continued interest and support.

If you would like to support us, please click here!

I hope you have a nice holiday and that all your wishes come true.

We will continue to strive to share useful knowledge in the future.

thank you

Hello, I am Nomad Creator.

Let's start the new week with some good news.

The number of students taking the Nomad Creator course has exceeded 10,000!

Two years ago, I uploaded programming lectures on YouTube, which led to a connection with Infraon, and the number of students has steadily increased to where we are today.

This is something I made in my spare time while working on a project, so it has many shortcomings, but I am grateful for the love and advice you all gave me, which helped me grow.

So, to help our students even a little, we created a small discount event.

I'm currently working on a fun public project where I take pictures of food with my mobile phone and use deep learning to identify the food. So from today until September 20th, I'm offering 20% off lectures related to the key technologies used in this project.

[OpenCV] Python Deep Learning Image Processing Project 2 - Find the Bad Apples!

: You will learn various image processing techniques centered on identifying desired objects by training YOLO with desired image data.

[OpenCV] Python Deep Learning Image Processing Project - Find Son Heung-min!

: Learn the fundamentals of Computer Vision and practical techniques for fun projects like identifying faces.

[Mobile] Deep Learning Computer Vision Practical Project

: Learn how to implement deep learning projects such as face recognition and object recognition on mobile devices such as Android, iPhone, and PWA.

As you all know, there are many AI, machine learning, and deep learning projects these days. My lectures are mainly focused on content that can be used in real life. I hope it will be helpful to you, and I will continue to gather my experience in projects and other good information to come back with better lectures.

I wish you all good health and good luck.

Thank you again for your love and support.

Hello, Nomad Creator students?

It's a difficult and tiring time during the long rainy season, but I hope everyone stays healthy.

New lecture ` Python  Web Service API Practical Project - Money-Making Digital Marketing`  I would like to introduce myself .

Recently , I started working on a project to promote affiliate marketing advertising for the Coupang Partners blog using artificial intelligence .

It's an area I haven't looked into very closely, but I found out that there is a new world of increasing advertising effectiveness and revenue through affiliate marketing.

I thought it would be useful to you all , so I asked for your understanding and compiled the contents that I could share from the project into a lecture.

Do you know how to earn money through Naver Blog, Coupang Partners , Google Search , Amazon Affiliate, etc?

What I learned through the project is that there is a limit to how much visible advertising effect and income can be generated through affiliate marketing if you just work hard consistently.

Information from Naver Shopping , Coupang Partners, etc. through web scrolling  This means that tasks such as collection, processing, and analysis must be automated using OpenAPI .

So it's basic but it's web scrolling and  I created a lecture on how to collect and process data using OpenAPI and create a web service using Python , Flask, and Ionic .

We have compiled the core content into a course to help developers who are interested in affiliate marketing automation , those who want to earn money , and those who want to create web apps using Python programs as web service APIs .

I think it would be better if you take the course during the discount period when the course is released. Stay healthy everyone ~~

Take the course 'Python Web Service API Practical Project - Money-Making Digital Marketing' =>