ML | Implement Face recognition using k-NN with scikit-learn
https://www.geeksforgeeks.org/ml-implement-face-recognition-using-k-nn-with-scikit-learn/
https://www.geeksforgeeks.org/ml-implement-face-recognition-using-k-nn-with-scikit-learn/
GeeksforGeeks
ML | Implement Face recognition using k-NN with scikit-learn - GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
Loguru is a library which aims to bring enjoyable logging in Python.
https://github.com/Delgan/loguru?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more
https://github.com/Delgan/loguru?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more
GitHub
GitHub - Delgan/loguru: Python logging made (stupidly) simple
Python logging made (stupidly) simple. Contribute to Delgan/loguru development by creating an account on GitHub.
Forwarded from Machinelearning
How to Load and Manipulate Images for Deep Learning in Python With PIL/Pillow
https://machinelearningmastery.com/how-to-load-and-manipulate-images-for-deep-learning-in-python-with-pil-pillow/
https://machinelearningmastery.com/how-to-load-and-manipulate-images-for-deep-learning-in-python-with-pil-pillow/
MachineLearningMastery.com
How to Load and Manipulate Images for Deep Learning in Python With PIL/Pillow - MachineLearningMastery.com
Before you can develop predictive models for image data, you must learn how to load and manipulate images and photographs. The most popular and de facto standard library in Python for loading and working with image data is Pillow. Pillow is an updated version…
Complete Python Tutorial for Beginners | Learn Python from Scratch | Python Training
https://www.youtube.com/watch?v=4_6CHpzwljQ
https://www.youtube.com/watch?v=4_6CHpzwljQ
YouTube
Complete Python Tutorial for Beginners | Learn Python from Scratch | Python Training | Full Tutorial
In this complete python tutorial for beginners, you will learn Python from scratch. This python training is a full tutorial with real-life examples and hands-on coding which will be your first step from beginners to advanced level python professional. Watch…
Data Science with Python explained
An overview of using Python for data science including Numpy, Scipy, pandas, Scikit-Learn, XGBoost, TensorFlow and Keras
https://towardsdatascience.com/data-science-with-python-explained-9333b7cef747
An overview of using Python for data science including Numpy, Scipy, pandas, Scikit-Learn, XGBoost, TensorFlow and Keras
https://towardsdatascience.com/data-science-with-python-explained-9333b7cef747
Forwarded from Machinelearning
How to Calculate Precision, Recall, F1, and More for Deep Learning Models
https://machinelearningmastery.com/how-to-calculate-precision-recall-f1-and-more-for-deep-learning-models/
https://machinelearningmastery.com/how-to-calculate-precision-recall-f1-and-more-for-deep-learning-models/
MachineLearningMastery.com
How to Calculate Precision, Recall, F1, and More for Deep Learning Models - MachineLearningMastery.com
Once you fit a deep learning neural network model, you must evaluate its performance on a test dataset. This is critical, as the reported performance allows you to both choose between candidate models and to communicate to stakeholders about how good the…
Forget APIs Do Python Scraping Using Beautiful Soup, Import Data File from the web
https://towardsdatascience.com/forget-apis-do-python-scraping-using-beautiful-soup-import-data-file-from-the-web-part-2-27af5d666246
https://towardsdatascience.com/forget-apis-do-python-scraping-using-beautiful-soup-import-data-file-from-the-web-part-2-27af5d666246
Medium
Forget APIs Do Python Scraping Using Beautiful Soup, Import Data File from the web: Part 2
APIs are not all there for you, but Beautiful Soup is going to stay with you forever.
Learning Data Science: Our Favorite Resources To Learn Data Science From Free To Not
https://medium.com/@SeattleDataGuy/learning-data-science-our-favorite-resources-to-learn-data-science-from-free-to-not-47beb6424de1
https://medium.com/@SeattleDataGuy/learning-data-science-our-favorite-resources-to-learn-data-science-from-free-to-not-47beb6424de1
Medium
Learning Data Science: Our Favorite Resources To Learn Data Science From Free To Not
By Ben Rogojan Originally Posted Here
Python Face Recognition Tutorial
https://www.youtube.com/watch?v=QSTnwsZj2yc
https://www.youtube.com/watch?v=QSTnwsZj2yc
YouTube
Python Face Recognition Tutorial
In this video we will be using the Python Face Recognition library to do a few things
Sponsor: DevMountain Bootcamp
https://goo.gl/6q0dEa
Examples & Docs:
https://github.com/bradtraversy/face_recognition_examples
https://github.com/ageitgey/face_recognition…
Sponsor: DevMountain Bootcamp
https://goo.gl/6q0dEa
Examples & Docs:
https://github.com/bradtraversy/face_recognition_examples
https://github.com/ageitgey/face_recognition…
A guide to Face Detection in Python
https://towardsdatascience.com/a-guide-to-face-detection-in-python-3eab0f6b9fc1?source=topic_page---------0------------------1
https://towardsdatascience.com/a-guide-to-face-detection-in-python-3eab0f6b9fc1?source=topic_page---------0------------------1
Markov Chain Monte Carlo in Python
https://towardsdatascience.com/markov-chain-monte-carlo-in-python-44f7e609be98
https://towardsdatascience.com/markov-chain-monte-carlo-in-python-44f7e609be98
Towards Data Science
Markov Chain Monte Carlo in Python | Towards Data Science
A Complete Real-World Implementation The past few months, I encountered one term again and again in the data science world: Markov Chain Monte Carlo. In my research lab, in podcasts, in articles, every time I heard the phrase I would nod and think that sounds…
Python Multithreading
https://www.youtube.com/watch?v=GFfMuyNUnDs
https://www.youtube.com/watch?v=GFfMuyNUnDs
YouTube
Python Multithreading Tutorial #1 - What is a Thread?
This python multithreading tutorial talks about what a thread is and how it compares to a process. Multithreading is a commonly used strategy to improve the efficiency of code. When multiple threads are running if the current thread delays or is waiting for…
Upgrade your Python skills: Examining the Dictionary
https://medium.freecodecamp.org/exploring-python-internals-the-dictionary-a32c14e73efa
https://medium.freecodecamp.org/exploring-python-internals-the-dictionary-a32c14e73efa
freeCodeCamp.org
Upgrade your Python skills: Examining the Dictionary
By Adam Goldschmidt a hash table (hash map) is a data structure that implements an associative array abstract data type, a structure that can map keys to values. If it smells like a Python dict, feels like a dict, and looks like one… well, it must ...
The most important concepts and features of scaPy: Advanced NLP in Python
https://www.datacamp.com/community/blog/spacy-cheatsheet
https://www.datacamp.com/community/blog/spacy-cheatsheet
Basic data analysis techniques every data analyst should know, using Python
https://towardsdatascience.com/basic-data-analysis-techniques-every-data-analyst-should-know-using-python-4de80ab52396
https://towardsdatascience.com/basic-data-analysis-techniques-every-data-analyst-should-know-using-python-4de80ab52396
How to Automate Tasks on GitHub With Machine Learning for Fun and Profit
https://towardsdatascience.com/mlapp-419f90e8f007?source=collection_home---4------0---------------------
https://towardsdatascience.com/mlapp-419f90e8f007?source=collection_home---4------0---------------------
Forwarded from Artificial Intelligence
Create a complete Machine learning web application using React and Flask
https://towardsdatascience.com/create-a-complete-machine-learning-web-application-using-react-and-flask-859340bddb33?source=collection_home---4------2---------------------
https://towardsdatascience.com/create-a-complete-machine-learning-web-application-using-react-and-flask-859340bddb33?source=collection_home---4------2---------------------
Towards Data Science
Create a complete Machine learning web application using React and Flask
Build complete ML Applications with UI and Backend