Face Mask Detection using Python and Machine Learning - Kaggle Tutorials (Part 1) скачать в хорошем качестве

Face Mask Detection using Python and Machine Learning - Kaggle Tutorials (Part 1)

Learn to perform Face Mask Detection using Python and Machine Learning in this episode of Kaggle Tutorials brought to you by The Click Reader. The overarching objective of the project is quite simple: Given an input image, a face mask detection model should be able to detect if a person is wearing a face mask or not with a good amount of accuracy. In this part, you will learn how to create a training dataset for fulfilling the objective of this project using Python. Thanks to Ayushi Mishra (https://www.kaggle.com/ayushimishra2809) for publishing the original notebook. Interested in learning Computer Vision? We recommend this Udemy's bestselling Computer Vision course by Kirill Eremenko and team: https://udemy-courses.pxf.io/6bo633 Part 2 (Training an image classification model):    • Face Mask Detection using Python and Machi...   Text-based Explanation and Code: https://www.theclickreader.com/face-m... Kaggle Dataset: https://www.kaggle.com/wobotintellige... Jupyter Notebook Tutorial: https://www.theclickreader.com/jupyte... Fast track your data science career with The Click Reader: https://www.theclickreader.com/ Disclaimer: Please note that whenever you make a purchase through the above links, we may earn a commission as an affiliate. Do you want to learn Python, Data Science, and Machine Learning while getting certified? Here are some best selling Datacamp courses that we recommend you enroll in: Introduction to Python (Free Course) - 1,000,000+ students already enrolled! 👉👉 https://datacamp.pxf.io/DV31ay Introduction to Data Science in Python - 400,000+ students already enrolled! 👉👉 https://datacamp.pxf.io/qnkr9g Introduction to TensorFlow for Deep Learning with Python - 90,000+ students already enrolled! 👉👉https://datacamp.pxf.io/P0Y1ER Data Science and Machine Learning Bootcamp with R - 70,000+ students already enrolled! 👉👉 https://datacamp.pxf.io/GjorJ2