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[Tensorflow2] Complete conquest of Python machine learning - Marathon record prediction project

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

(4.1) 25 reviews

383 learners

Level Intermediate

Course period Unlimited

  • nomad
Tensorflow
Tensorflow
Machine Learning(ML)
Machine Learning(ML)
Keras
Keras
Computer Vision(CV)
Computer Vision(CV)
Tensorflow
Tensorflow
Machine Learning(ML)
Machine Learning(ML)
Keras
Keras
Computer Vision(CV)
Computer Vision(CV)

Event to celebrate 10,000 students!

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.

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