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Explore AI, ML, Data Science, and Computer Vision with us. π
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Comprehensive Python Cheatsheet.pdf
6.3 MB
Comprehensive Python Cheatsheet
This Comprehensive #Python Cheatsheet brings together core syntax, data structures, functions, #OOP, decorators, regular expressions, libraries, and more β neatly organized for quick reference and deep understanding.
This Comprehensive #Python Cheatsheet brings together core syntax, data structures, functions, #OOP, decorators, regular expressions, libraries, and more β neatly organized for quick reference and deep understanding.
https://t.iss.one/CodeProgrammer
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Data Science Formulas Cheat Sheet.pdf
175.4 KB
π¨π»βπ» This cheat sheet presents important data science concepts along with their formulas.
https://t.iss.one/CodeProgrammer
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Forwarded from Machine Learning with Python
π THE 7-DAY PROFIT CHALLENGE! π
Can you turn $100 into $5,000 in just 7 days?
Lisa can. And sheβs challenging YOU to do the same. π
https://t.iss.one/+AOPQVJRWlJc5ZGRi
https://t.iss.one/+AOPQVJRWlJc5ZGRi
https://t.iss.one/+AOPQVJRWlJc5ZGRi
Can you turn $100 into $5,000 in just 7 days?
Lisa can. And sheβs challenging YOU to do the same. π
https://t.iss.one/+AOPQVJRWlJc5ZGRi
https://t.iss.one/+AOPQVJRWlJc5ZGRi
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This GitHub repo is a gold mine for EVERY data scientist!
(full of hands-on and interactive tutorials)
DS Interactive Python provides several dashboards to interactively learn about statistics, ML models, and other related theoretical concepts!
Some key topics you can understand interactively:
β’ PCA
β’ Bagging and boosting
β’ Linear regression and OLS
β’ Bayesian and frequentist statistics
β’ confidence intervals
β’ clustering (kmeans, spectral clustering, etc.)
β’ central limit theorem
β’ neural networks (the backpropagation animation is really good)
β’ and many more.
Link: https://github.com/GeostatsGuy/DataScienceInteractivePython
https://t.iss.one/CodeProgrammer
(full of hands-on and interactive tutorials)
DS Interactive Python provides several dashboards to interactively learn about statistics, ML models, and other related theoretical concepts!
Some key topics you can understand interactively:
β’ PCA
β’ Bagging and boosting
β’ Linear regression and OLS
β’ Bayesian and frequentist statistics
β’ confidence intervals
β’ clustering (kmeans, spectral clustering, etc.)
β’ central limit theorem
β’ neural networks (the backpropagation animation is really good)
β’ and many more.
Link: https://github.com/GeostatsGuy/DataScienceInteractivePython
https://t.iss.one/CodeProgrammer
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Create a Wi-Fi QR code in Python in a couple of seconds
π @codeprogrammer
pip install wifi_qrcode_generator
import wifi_qrcode_generator.generator
from PIL import Image
ssid = "CLCoding_WIFI"
password = "supersecret123"
security = "WPA"
from wifi_qrcode_generator.generator import wifi_qrcode
qr = wifi_qrcode(ssid, False, security, password)
qr.make_image().save("wifi_qr.png")
Image.open("wifi_qr.png")
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Amazing NumPy Cheat Sheet.pdf
259.7 KB
Amazing NumPy Cheat Sheet Snippet with 100 exercises for practicing the concept to get hands on to clear the coding round in the interviews
#NumPy #codingexams
https://t.iss.one/CodeProgrammer
#NumPy #codingexams
https://t.iss.one/CodeProgrammer
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Machine Learning with Python
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Why I strongly recommend it:
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I used it and found its earnings amazing.
Why I strongly recommend it:
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What is the essence of earning?: "Analyze and open a deal on the exchange, knowing where the currency rate will go. Lisa trades every day and posts signals on her channel for free."
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