NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: https://statquest.gumroad.com/l/uroxo

NOTE: This StatQuest assumes that you are already familiar with:
XGBoost for Regression: https://youtu.be/OtD8wVaFm6E…

YOLO v7 object detection tutorial for Windows and Linux. This is a complete tutorial and covers all variations of the YOLO v7 object detector. YOLO v7 has just been released and exhibits a performance and speed boost over its predecessors. This tutorial is…

In this video, learn about the importance of MLOps and the processes associated with it.
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This StatQuest shows how the methods used to determine if a linear regression is statistically significant (covered in part 1) can be applied to t-tests and ANOVA. It also introduces the concept of a "design matrix". Part 1 of this series on GLMs (general…

👉 AI Vision Courses + Community → https://www.skool.com/ai-vision-academy

➤ PROJECT SOURCE CODE:
The source code for this project and a full tutorial where I show step by step how to build this project from scratch is available to download inside the course…

This video describes how to use a Python notebook we have shared for Human Action Recognition on Google Colab.
Human action recognition involves analyzing the video footage to predict or classify various actions performed by the person in that video. It…

Implemented in 3 code libraries.

Blog: https://pysource.com/2021/12/07/how-to-count-people-from-cctv-cameras-with-opencv-and-deep-learning/

We will see how to identify and count people from CCTV cameras with the highest accuracy possible. I will explain the main problems you might find…

There are many useful libraries in python with functions to register images. This video explains 4 different ways to register images using the functions available in image_registration and scikit-image packages. It specifically covers image registration using…

The basics of Markov Chains, one of my ALL TIME FAVORITE objects in data science.