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π₯ DataQA extractor
App to extract structured fields into a spreadsheet from unstructured text.
DataQA extractor is a Python application for extracting structured fields from unstructured text and adding them to a spreadsheet.
GitHub: https://github.com/dataqa/extractor
https://t.me/CodeProgrammer
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App to extract structured fields into a spreadsheet from unstructured text.
DataQA extractor is a Python application for extracting structured fields from unstructured text and adding them to a spreadsheet.
GitHub: https://github.com/dataqa/extractor
https://t.me/CodeProgrammer
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π
Compress Images
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from PIL import Image
in_img = 'input.png'
out_img = 'compressed.png'
# Open the image
with Image.open(in_img) as img:
# Save the compressed image
img.save(out_img, 'PNG', quality=80)
print(f"Image compressed successfully!")
https://t.me/CodeProgrammer
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Deep Learning with PyTorch Cheat Sheet
Learn everything you need to know about PyTorch in this convenient cheat sheet
PyTorch is an open-source machine learning library primarily developed by Facebook's AI Research Lab (FAIR). It is widely used for various machine learning and deep learning tasks, including neural network development, natural language processing (NLP), computer vision, and reinforcement learning. In this cheat sheet, learn all the fundamentals of working with PyTorch in one convenient location!
Download πππ
Learn everything you need to know about PyTorch in this convenient cheat sheet
PyTorch is an open-source machine learning library primarily developed by Facebook's AI Research Lab (FAIR). It is widely used for various machine learning and deep learning tasks, including neural network development, natural language processing (NLP), computer vision, and reinforcement learning. In this cheat sheet, learn all the fundamentals of working with PyTorch in one convenient location!
Download πππ
π¨π»βπ» I want today I shared with you five of the best free data science learning courses that helped me become a successful data scientist and get a job at Google . ππΌ
β π· CS229: Machine Learning
β βΌοΈ LINK
β π· MIT: Linear Algebra
β βΌοΈ LINK
β π· MIT: Introduction to Algorithms
β βΌοΈ LINK
β π· MIT: Applied Probability
β βΌοΈ LINK
β π· Stanford: Relational Databases & SQL
β βΌοΈ LINK
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@codeprogrammer Python Cheat Sheet for Beginners.pdf
7.1 MB
Python Cheat Sheet for Beginners
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DeepFake Detection using Convolutional Neural Networksβ
π
https://techvidvan.com/tutorials/deepfake-detection-using-cnn/
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https://techvidvan.com/tutorials/deepfake-detection-using-cnn/
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Data science
Youβve been invited to add the folder βData scienceβ, which includes 15 chats.
π₯ Machine learning tutorials (mainly in Python3)
Machine learning tutorials. A collection of 100+ machine learning lessons written primarily in python.
βͺGithub: https://github.com/ethen8181/machine-learning
https://t.me/CodeProgrammer
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Machine learning tutorials. A collection of 100+ machine learning lessons written primarily in python.
βͺGithub: https://github.com/ethen8181/machine-learning
https://t.me/CodeProgrammer
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Forwarded from Shohruh
Artificial Intelligence && Deep Learning
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
https://t.me/DeepLearning_ai
https://t.me/MachineLearning_Programming
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
https://t.me/DeepLearning_ai
https://t.me/MachineLearning_Programming
190+ Python Interview Questions and Answers.pdf
1.1 MB
190+ Python Interview Questions and Answers (2024)
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π₯ Reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.
Marimo is an open source reactive notebook for Python - reproducible, git friendly, as a script or app.
βͺ Github: https://github.com/marimo-team/marimo
βͺ Examples: https://github.com/marimo-team/marimo/tree/main/examples
https://t.me/CodeProgrammer
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Marimo is an open source reactive notebook for Python - reproducible, git friendly, as a script or app.
βͺ Github: https://github.com/marimo-team/marimo
βͺ Examples: https://github.com/marimo-team/marimo/tree/main/examples
https://t.me/CodeProgrammer
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Python tool for high-precision line-level text detection and recognition (OCR). Works for any language.
https://t.me/CodeProgrammer
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Do you enjoy reading this channel?
Perhaps you have thought about placing ads on it?
To do this, follow three simple steps:
1) Sign up: https://telega.io/c/codeprogrammer
2) Top up the balance in a convenient way
3) Create an advertising post
If the topic of your post fits our channel, we will publish it with pleasure.
Perhaps you have thought about placing ads on it?
To do this, follow three simple steps:
1) Sign up: https://telega.io/c/codeprogrammer
2) Top up the balance in a convenient way
3) Create an advertising post
If the topic of your post fits our channel, we will publish it with pleasure.
π₯ Hide π΅οΈββοΈ your files of any type inside a image of your choice using steganography
A Python library that allows you to hide files of any type inside an image of your choice using steganography.
βͺ Github: https://github.com/JoshuaKasa/van-gonography
https://t.me/CodeProgrammer
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A Python library that allows you to hide files of any type inside an image of your choice using steganography.
βͺ Github: https://github.com/JoshuaKasa/van-gonography
https://t.me/CodeProgrammer
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π’ 50+ #MachineLearning projects solved & explained using #Python .
A list of 50+ machine learning projects solved and explained using #Python that you can try to improve your data and algorithm skills.
https://thecleverprogrammer.com/2023/07/15/machine-learning-projects-using-python/
https://t.me/CodeProgrammer
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A list of 50+ machine learning projects solved and explained using #Python that you can try to improve your data and algorithm skills.
https://thecleverprogrammer.com/2023/07/15/machine-learning-projects-using-python/
https://t.me/CodeProgrammer
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π₯ JupySQL: Better SQL in Jupyter
JupySQL allows you to run SQL and plot large datasets in Jupyter using the magic of %sql, %%sql ΠΈ %sqlplot.
JupySQL is compatible with all major databases (e.g. PostgreSQL, MySQL, SQL Server ), data warehouses (e.g. Snowflake, BigQuery, Redshift ) and embedded engines ( SQLite and DuckDB ).
GitHub: https://github.com/ploomber/jupysql
Docs: https://jupysql.ploomber.io/en/latest/quick-start.html
https://t.me/CodeProgrammer
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JupySQL allows you to run SQL and plot large datasets in Jupyter using the magic of %sql, %%sql ΠΈ %sqlplot.
JupySQL is compatible with all major databases (e.g. PostgreSQL, MySQL, SQL Server ), data warehouses (e.g. Snowflake, BigQuery, Redshift ) and embedded engines ( SQLite and DuckDB ).
pip install jupysqlGitHub: https://github.com/ploomber/jupysql
Docs: https://jupysql.ploomber.io/en/latest/quick-start.html
https://t.me/CodeProgrammer
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