How to Download Files From URLs With Python
https://realpython.com/python-download-file-from-url
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🔥 Master Data Science for free
📂 Computer Science 101
https://online.stanford.edu/courses/soe-ycscs101-computer-science-101
📂 Machine Learning Specialization
https://coursera.org/specializations/machine-learning-introduction
📂 Artificial Intelligence for Robotics
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📂 Designing Your Career
https://online.stanford.edu/courses/tds-y0003-designing-your-career
📂 Stanford: Game Theory
https://online.stanford.edu/courses/soe-ycs0002-game-theory
📂 Machine Learning with Python
https://www.freecodecamp.org/learn/machine-learning-with-python/
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📂 The Open Source Data Science Masters
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📂 Google - artificial intelligence for everyone
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📂Microsoft - AI for Beginners
https://microsoft.github.io/AI-For-Beginners
📂 IBM - AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
📂 Harvard - Introduction to Artificial Intelligence with Python
https://cs50.harvard.edu/ai/2023
📂 Introduction to Generative AI
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📂 Deep Learning - Finetuning Large Language Models
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📂 Deep Learning
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http://tableau.com/learn/training
📂 Statistics:
http://cognitiveclass.ai/courses/statistics-101
📂 SQL:
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql
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📂 Computer Science 101
https://online.stanford.edu/courses/soe-ycscs101-computer-science-101
📂 Machine Learning Specialization
https://coursera.org/specializations/machine-learning-introduction
📂 Artificial Intelligence for Robotics
https://udacity.com/course/artificial-intelligence-for-robotics--cs373
📂 Designing Your Career
https://online.stanford.edu/courses/tds-y0003-designing-your-career
📂 Stanford: Game Theory
https://online.stanford.edu/courses/soe-ycs0002-game-theory
📂 Machine Learning with Python
https://www.freecodecamp.org/learn/machine-learning-with-python/
📂 Probability and Statistics: To P or Not To P? (Coursera)
https://www.coursera.org/learn/probability-statistics
📂 Numpy complete free course
https://www.youtube.com/playlist?list=PLysMDSbb9Hcz3Gdi9oV-btohZ9zhths-r
📂Advanced Machine Learning
https://www.kaggle.com/learn/intro-to-machine-learning
📂 Stat 110: Harvard University (YouTube)
https://www.youtube.com/watch?v=KbB0FjPg0mw&list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo&index=1
📂 The Open Source Data Science Masters
https://github.com/datasciencemasters/go
📂 Google - artificial intelligence for everyone
https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone
📂Microsoft - AI for Beginners
https://microsoft.github.io/AI-For-Beginners
📂 IBM - AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
📂 Harvard - Introduction to Artificial Intelligence with Python
https://cs50.harvard.edu/ai/2023
📂 Introduction to Generative AI
https://cloudskillsboost.google/journeys/118
📂 Deep Learning - Finetuning Large Language Models
https://deeplearning.ai/short-courses/finetuning-large-language-models/
📂Microsoft - AI Basics in Azure
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
https://t.me/CodeProgrammer
📂Linux Foundation
https://edx.org/learn/computer-programming/the-linux-foundation-data-and-ai-fundamentals
📂 12 Linux courses:
https://t.me/linuxkalii/538
📂 Alison - 13 free AI courses
https://alison.com/tag/artificial-intelligence
📂 Artificial Intelligence Projects:
https://mygreatlearning.com/academy/learn-for-free/courses/artificial-intelligence-projects
📂 Introduction to Internet of Things:
https://online.stanford.edu/courses/xee100-introduction-internet-things
📂 Graph Search, Shortest Paths, and Data Structures
https://coursera.org/learn/algorithms-graphs-data-structures
📂 Python:
http://cs50.harvard.edu/python/2022/
📂 Machine Learning:
http://developers.google.com/machine-learning/crash-course
📂 Deep Learning
http://introtodeeplearning.com
📂 Data Analysis
http://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis
📂 Linear algebra:
http://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
📂 Algebra basics
https://www.khanacademy.org/math/algebra-basics
📂 Excel and PowerBI
http://learn.microsoft.com/training/paths/modern-analytics/
📂 Data visualization:
http://pll.harvard.edu/course/data-science-visualization
📂 PowerBI
http://learn.microsoft.com/users/collinschedler-0717/collections/m14nt4rdwnwp04
📂 Tableau:
http://tableau.com/learn/training
📂 Statistics:
http://cognitiveclass.ai/courses/statistics-101
📂 SQL:
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql
https://t.me/CodeProgrammer
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❤41👍18❤🔥1💯1
😲 Awesome useful Python scripts
Useful ready-made Python scripts.
1. JSON ↔️ CSV (Fig.1)
2. Password generator (Fig.2)
3. String search from several files (Fig.3)
4. Retrieving all links from a given web page (Fig.4)
5. Add a watermark (Fig.5)
6. Parser and image loader from WEB page (Fig.6)
7. Sorting the download folder (Fig.7)
8. Bulk email sending from a CSV file (Fig.8)
9. Obtaining the IP address and hostname of the website (Fig.9)
10. Progress bar of the terminal (Fig.10)
🔗 Scripts: https://uproger.com/udivitelnye-sczenarii-python/
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Useful ready-made Python scripts.
1. JSON ↔️ CSV (Fig.1)
2. Password generator (Fig.2)
3. String search from several files (Fig.3)
4. Retrieving all links from a given web page (Fig.4)
5. Add a watermark (Fig.5)
6. Parser and image loader from WEB page (Fig.6)
7. Sorting the download folder (Fig.7)
8. Bulk email sending from a CSV file (Fig.8)
9. Obtaining the IP address and hostname of the website (Fig.9)
10. Progress bar of the terminal (Fig.10)
🔗 Scripts: https://uproger.com/udivitelnye-sczenarii-python/
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❤30👍17💯2
💼 Briefcase
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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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/
https://t.me/CodeProgrammer
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👍34❤14
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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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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Python | Machine Learning | Coding | R
Photo
🖥 Free Courses and Guides That Will Teach You How to Master AI:
📂 Elements of AI
https://elementsofai.com
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📂 Google — AI for Anyone
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📂 Microsoft — AI For Beginners
https://microsoft.github.io/AI-For-Beginners
📂 IBM — AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
📂 Google — Introduction to Generative AI
https://cloudskillsboost.google/journeys/118
📂 DeepLearning — Finetuning LLMs
https://deeplearning.ai/short-courses/finetuning-large-language-models
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📂 Elements of AI
https://elementsofai.com
📂 Learn Prompting
https://learnprompting.org
📂 Machine Learning
https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
📂 AI for everyone
https://coursera.org/learn/ai-for-everyone
📂 500+ AI Chatbot Prompt Templates
https://theveller.gumroad.com/l/ChatGPTPromptTemplates-byTheVeller
📂 Prompt Engineering
https://youtu.be/_ZvnD73m40o
📂 ChatGPT Prompt Engineering for Developers
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers
📂 Google — AI for Anyone
https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone
📂 Microsoft — AI For Beginners
https://microsoft.github.io/AI-For-Beginners
📂 IBM — AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
📂 Google — Introduction to Generative AI
https://cloudskillsboost.google/journeys/118
📂 DeepLearning — Finetuning LLMs
https://deeplearning.ai/short-courses/finetuning-large-language-models
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👍47❤8❤🔥8💯1
🖥 Get domain name information using Python
$pip install whois
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$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
🌟 Github: https://github.com/DannyCork/python-whoishttps://t.me/CodeProgrammer
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🔥 Free Certification Courses from Google to try in 2023.
1. Basics of Machine Learning
https://grow.google/intl/en_in/
2. Machine Learning Crash Course
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3. Project Execution: Running the Project
https://coursera.org/learn/project-execution-google
4. Foundations of Project Management
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5. Project Initiation: Starting a Successful Project
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6. Project Planning: Putting It All Together
https://coursera.org/learn/project-planning-google
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https://coursya.com/product/google-analytics-certification-coursya
8. Fundamentals of digital marketing
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9. Python Basics for Data Analysis
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10. Data Science Foundations
https://grow.google/intl/en_in/
11. Advanced Google Analytics
https://coursera.org/professional-certificates/google-data-analytics
12. Google Cloud Computing Foundations:
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13. Data, ML, and AI in Google Cloud
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14. Agile Project Management
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15. Google Project Management
https://coursera.org/professional-certificates/google-project-management
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1. Basics of Machine Learning
https://grow.google/intl/en_in/
2. Machine Learning Crash Course
https://coursya.com/product/machine-learning-crash-course
3. Project Execution: Running the Project
https://coursera.org/learn/project-execution-google
4. Foundations of Project Management
https://coursera.org/learn/project-management-foundations
5. Project Initiation: Starting a Successful Project
https://coursera.org/learn/project-initiation-google
6. Project Planning: Putting It All Together
https://coursera.org/learn/project-planning-google
7. Google Analytics for Power Users
https://coursya.com/product/google-analytics-certification-coursya
8. Fundamentals of digital marketing
https://skillshop.exceedlms.com/student/collection/654330-digital-marketing?locale=en-GB
9. Python Basics for Data Analysis
https://coursya.com/product/learn-python-basics-for-data-analysis
10. Data Science Foundations
https://grow.google/intl/en_in/
11. Advanced Google Analytics
https://coursera.org/professional-certificates/google-data-analytics
12. Google Cloud Computing Foundations:
https://cloudskillsboost.google/course_templates/153
13. Data, ML, and AI in Google Cloud
https://coursya.com/product/google-cloud-computing-foundations-data-ml-and-ai-in-google-cloud-google-cloud-skills-boost
14. Agile Project Management
https://coursera.org/learn/agile-project-management
15. Google Project Management
https://coursera.org/professional-certificates/google-project-management
https://t.me/CodeProgrammer
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👍53❤10❤🔥3💯2👏1😱1