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. Buy ads: https://telega.io/c/epythonlab
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A step by step tutorial on how to build and publish your own python library https://youtu.be/ZQlDrNvQn6Y
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Repost from Epython Lab
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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Repost from Epython Lab
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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Repost from Epython Lab
How to Implement a Linked List in Python - Create a Singly Linked List
https://www.youtube.com/watch?v=3lSDehdWX8U
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A New Mojo Programming Language for Machine Learning- Full Course for Beginners
https://youtu.be/pyfCTxKcDPY
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Beginner's Guide to Python Programming. Getting started now: https://youtu.be/ISv6XIl1hn0
Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok
OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw
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Join https://t.me/epythonlab for more learning resources
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Fundamentals of Data Engineering Principles
https://www.youtube.com/watch?v=RFoSRpI1vS0
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Creating and parsing XML documents in Python is a valuable skill for managing and exchanging structured data. In this tutorial, I'll cover the basics of creating XML documents and parsing them using Python's built-in XML module.
https://www.youtube.com/watch?v=WnbS90EzU0Y
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The difference between break and continue statements https://www.youtube.com/watch?v=OMK61WQazxs&list=PL0nX4ZoMtjYFwa6WIlGqs8g3EBTYt1k7y&index=10
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How to learn Python from scratch https://www.youtube.com/watch?v=4IBGze0CYkk
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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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Repost from Epython Lab
Sync vs Async programming in Python: https://youtu.be/0UG-pEHZfnc
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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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Repost from Epython Lab
+1
You can learn Probability Distribution for Machine Learning with Python Visualization https://bit.ly/495L8b5
π Link to Linear Regression https://bit.ly/46rqiBu
π Link to Linear Algebra https://bit.ly/45EpfwB
π Link to Telegram Group https://bit.ly/3IR1lnm
#python #machinelearning #projects #probability #epythonlab
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Mojo Programming Language - Full Course for Beginners
https://youtu.be/pyfCTxKcDPY
Join #epythonlab https://t.me/epythonlab
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How to execute multiple tasks concurrently using asyncio python library https://youtu.be/QmbLfUP1ce0
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Repost from Epython Lab
AI vs ML vs DL
Understanding Artificial Intelligence, Machine Learning, and Deep Learning
https://youtu.be/qSyDFGUXS9M
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Which statement is the correct output in the picture below?
For a solution, check out the video at 4:41minutes https://youtu.be/QmbLfUP1ce0
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Repost from Epython Lab
In this topic modeling project-based tutorial, I have gone through the following steps:
1. Loads the documents(Generating sample documents)
2. Preprocesses the text by removing stop words and stemming words.
3. Creates a TF-IDF vector representation of the documents.
4. Performs LDA topic modeling with the specified number of topics.
5. Extracts the document-topic weight matrix.
6. Prepares the data for CSV format, including document IDs and topic weights.
7. Saves the results to the specified CSV file. https://youtu.be/uJCB2hRCB60
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Managing class attributes with property decorator is clear and concise than using traditional approach with getter and setter methods. Here is a step by step guide https://www.youtube.com/watch?v=Kj5xFNeBgR8
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