Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.

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The Future is about Quantum + AI
👉Start learning quantum programming: https://youtu.be/b728XehreTQ

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ETL:
This tutorial is ideal for those who want to manage their data more efficiently and automate repetitive tasks.

In this tutorial, I’ve covered how to extract data from a CSV file, transform it, load it into another CSV file, and automate the process. If you found this tutorial helpful, please like, share, and subscribe for more content. As the next steps, you can try adding more complex transformations or loading data into other formats like JSON or loading the data into databases. https://youtu.be/3J1D33US7NM

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For Python, Data Analysis and Machine Learning resources
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Welcome to this comprehensive tutorial on linear regression in Python! In this video, I'll walk you through the entire process of building a simple linear regression model from scratch, complete with a real-world example.

https://youtu.be/CRbCmv21OAg?si=i3_BtPqbYd2RWjDZ

Don't forget to like, share, and subscribe for more data science and machine learning tutorials! If you have any questions or suggestions for future videos, please leave them in the comments below.
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New to Linux? Learn the basic Linux commands for beginners in this easy-to-follow video tutorial. Master essential commands and start navigating your Linux system like a pro! https://youtu.be/yr65ibmN6-M

Don't forget to like, share, and subscribe for more data science and machine learning tutorials! If you have any questions or suggestions for future videos, please leave them in the comments below.
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The most essential python list methods you should know: Here learn more Python tips https://youtu.be/YYzOGQCBUjo

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Learn about the differences between shallow and deep copy in Python in this informative video. Understand when to use each method for efficient programming.

https://youtu.be/I2hX-Hozkw8
Forwarded from Epython Lab (Asibeh Tenager)
#PythonQ&A #DataCollection

females = sets (['marge', 'maude', 'lisa', 'maggie', 'edna' ])
Simpsons = sets (['homer', 'marge', 'bart', 'lisa', 'maggie'])

Finding the common elements

Discus on it and bring efficient solution.
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Which is your favorite Python Code Editor?

Top Tips of Python Programming: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYFd1_d6ycD5Uc-AV4dyQa53

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The Github Repo Search Tool provides enhanced search functionality, allowing users to find repositories based on topics, ratings, and programming languages.
https://github.com/epythonlab/github-search-tool

N.B: Contributors are welcome.

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