Epython Lab – Telegram
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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You can learn Probability Distribution for Machine Learning with Python Visualization https://bit.ly/495L8b5

🔗 Link to Linear Regression https://bit.ly/46rqiBu

🔗 Link to Linear Algebra https://bit.ly/45EpfwB

🔗 Link to Telegram Group https://bit.ly/3IR1lnm

#python #machinelearning #projects #probability #epythonlab
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Learn how to avoid common errors and follow best practices when writing asynchronous code in Python. Improve your coding skills with these tips! https://youtu.be/TqtXbN6NGlc
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We are excited to announce plans to establish a Virtual Lab, a free online resource for anyone who wants to learn about machine learning, data science, and artificial intelligence. Please subscribe to our channel

Https://youtube.com/@epythonlab
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Epython Lab pinned «We are excited to announce plans to establish a Virtual Lab, a free online resource for anyone who wants to learn about machine learning, data science, and artificial intelligence. Please subscribe to our channel Https://youtube.com/@epythonlab»
How to learn Python from scratch https://www.youtube.com/watch?v=4IBGze0CYkk

Join #epythonlab
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A New Mojo Programming Language for Machine Learning- Full Course for Beginners
https://youtu.be/pyfCTxKcDPY

Join #epythonlab https://news.1rj.ru/str/epythonlab
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tensorflow vs pytorch (1).pdf
351.4 KB
Keynote on Tensorflow vs PyTorch
Build your own Deep Learning Model with tensorflow and keras using Google Colab notebook https://www.youtube.com/watch?v=anyJVt5XzfE&list=PL0nX4ZoMtjYEhYVeSJkp2QhW658V0-R4e&index=3

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Here, I have build and published my first demo library on PyPI.
you can test it https://pypi.org/project/coolmath1/

Here is a step by step tutorial on how to build and publish your own python library https://youtu.be/ZQlDrNvQn6Y
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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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