Angular Firebase Complete Conquest - PetStore Shopping Mall Project
This is a practical project capacity building course that follows the Pet Store shopping mall Blueprint Application that can be applied to various fields using Angular Front-end and Firebase Back-end.
From data science to machine learning/deep learning and image processing, all in one book
Hello, Nomad Creator students?
Happy New Year to all of you and I hope 2022 will be a year where 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!
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