Title: How to #blur faces in images using #OpenCv.
#programming_post talking about one of the ways to blur faces in photos using the #OpenCv library and the classifier #haarcascade_frontalface_alt
⛔️ يمكن تحميل المصنف المذكور من خلال #GitHub.
⛔️ المصدر والكود:
https://www.geeksforgeeks.org/how-to-blur-faces-in-images-using-opencv-in-python/amp/
🔴 انضم لقناة الباحثين البرمجية:
@DataScience_Books
🟢 انضم لمجتمع بايثون العربي:
@PythonArab
🟡 شارك القناة للآخرين:
@CodeProgrammer
#programming_post talking about one of the ways to blur faces in photos using the #OpenCv library and the classifier #haarcascade_frontalface_alt
⛔️ يمكن تحميل المصنف المذكور من خلال #GitHub.
⛔️ المصدر والكود:
https://www.geeksforgeeks.org/how-to-blur-faces-in-images-using-opencv-in-python/amp/
🔴 انضم لقناة الباحثين البرمجية:
@DataScience_Books
🟢 انضم لمجتمع بايثون العربي:
@PythonArab
🟡 شارك القناة للآخرين:
@CodeProgrammer
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- Learn by Doing: Perfect for beginners and coders upgrading to Python 3! Hands-on examples, exercises, and projects.
- Jupyter Notebook Edition: Entire book redesigned as interactive notebooks! Run code, visualize results, and experiment live.
- Free & Open Source: Licensed under CC BY-NC-SA—download, share, and contribute!
- From a Pro: Authored by Allen Downey, computer science professor and creator of the legendary *Think Series* (*Think Stats*, *Think Bayes*).
- Clear & Engaging: Simplifies complex concepts with humor and real-world analogies.
- Updated for modern Python 3 practices.
- Fully integrated Jupyter notebooks for interactive learning.
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- New programmers starting with Python.
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👩🏻💻 Guys , GenAI Community has created a free Python training course where you will learn both Python and its application in generative artificial intelligence!
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80 Python Interview Questions.pdf
410.4 KB
- Covers frequently asked questions in Python interviews
#Python #DataScience #Programming #InterviewPrep #Coding #PythonInterview #TechInterview #DataScientist #PythonProgramming #LearnPython #CodeNewbie #CareerGrowth #TechJobs #PythonCode #PythonTips
https://t.me/CodeProgrammer
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Keras Cheat Sheet: Neural Networks in Python
#keras #cheatsheet #python #library #programming #guide
https://t.me/CodeProgrammer
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https://t.me/CodeProgrammer
👍10❤5
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📝 Cheat sheets for data science and machine learning
Link: https://sites.google.com/view/datascience-cheat-sheets
Link: https://sites.google.com/view/datascience-cheat-sheets
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https://t.me/CodeProgrammer✅
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Deep Learning with Keras :: Cheat sheet
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Top_100_Machine_Learning_Interview_Questions_Answers_Cheatshee.pdf
5.8 MB
Top 100 Machine Learning Interview Questions & Answers Cheatsheet
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https://t.me/CodeProgrammer✅
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Python Pandas Interview Questions Answers Cheatsheet.pdf
2.3 MB
Python Pandas Interview Questions & Answers Cheatsheet
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Machine Learning from Scratch by Danny Friedman
This book is for readers looking to learn new machine learning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different algorithms create the models they do and the advantages and disadvantages of each one.
This book will be most helpful for those with practice in basic modeling. It does not review best practices—such as feature engineering or balancing response variables—or discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models.
🌟 Link: https://dafriedman97.github.io/mlbook/content/introduction.html
This book is for readers looking to learn new machine learning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different algorithms create the models they do and the advantages and disadvantages of each one.
This book will be most helpful for those with practice in basic modeling. It does not review best practices—such as feature engineering or balancing response variables—or discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models.
#DataScience #MachineLearning #CheatSheet #stats #analytics #ML #IA #AI #programming #code #rstats #python #deeplearning #DL #CNN #Keras #R
https://t.me/CodeProgrammer✅
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@Codeprogrammer Cheat Sheet Numpy.pdf
213.7 KB
This checklist covers the essentials of NumPy in one place, helping you:
- Create and initialize arrays
- Perform element-wise computations
- Stack and split arrays
- Apply linear algebra functions
- Efficiently index, slice, and manipulate arrays
…and much more!
Feel free to share if you found this useful, and let me know in the comments if I missed anything!
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
- Create and initialize arrays
- Perform element-wise computations
- Stack and split arrays
- Apply linear algebra functions
- Efficiently index, slice, and manipulate arrays
…and much more!
Feel free to share if you found this useful, and let me know in the comments if I missed anything!
#NumPy #Python #DataScience #MachineLearning #Automation #DeepLearning #Programming #Tech #DataAnalysis #SoftwareDevelopment #Coding #TechTips #PythonForDataScience
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