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Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
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Admin: @HusseinSheikho || @Hussein_Sheikho”
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Repost from Data Science Books
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Repost from Data Science Books
We have just launched a fundraising campaign for the channel to ensure continued quality service
We upload the book via Internet data, and this is expensive for us
Participate and contribute to the donation campaign until the target amount is reached
Donate link:
https://boosty.to/datascienceteam/donate
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We hope that you will participate in donations if you are able to donate
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🖥 Get domain name information using Python
$pip install whois
$pip install whois
>>> import whois
>>> domain = whois.query('google.com')
>>> print(domain.dict)
{
'expiration_date': datetime.datetime(2020, 9, 14, 0, 0),
'last_updated': datetime.datetime(2011, 7, 20, 0, 0),
'registrar': 'MARKMONITOR INC.',
'name': 'google.com',
'creation_date': datetime.datetime(1997, 9, 15, 0, 0)
}
>>> print(domain.name)
google.com
>>> print(domain.expiration_date)
2024-09-14 00:00:00
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How to Perform Face Detection with Deep Learning
Face detection is a computer vision problem that involves finding faces in photos.
It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier. More recently deep learning methods have achieved state-of-the-art results on standard benchmark face detection datasets. One example is the Multi-task Cascade Convolutional Neural Network, or MTCNN for short.
In this tutorial, you will discover how to perform face detection in Python using classical and deep learning models.
https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/
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Briefcase is a tool for converting a Python project into a standalone native application.
▪ Github: https://github.com/beeware/briefcase
▪Tutorial: https://briefcase.readthedocs.io/en/stable/
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