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
Ko'proq ko'rsatish6 325
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Ma'lumot yo'q24 soatlar
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Postlar arxiv
6 325
Standardize the data points is the most essential and one of data preparation steps in Machine Learning
how to normalize the data points in Machine learning using standardscaler
https://youtu.be/w6iEvjESa7c
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๐ Cool Python ๐ Tricks ๐บ
โ Learn More Tricks: https://bit.ly/Pythontoptips
๐Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab
6 325
In this video, you will learn how to transform categorical variables into numeric values in Python using the LabelEncoder class from scikit-learn library.
https://youtu.be/oB60LiA8kdE
6 325
This video will teach you how to implement logistic regression in Python using the scikit-learn library.
You will learn how to prepare your data, train your model, make predictions, and model deployment.
https://youtu.be/jBPH4hNzg3c
6 325
The most Frequently Asked Question you should know about chatgpt
https://youtu.be/ZoWTR2bCGdE?si=WRbKhqsUCCSvbiVb
6 325
Are you wondering which programming language to choose for your machine-learning projects? In this video, I will deeply explain the comparison between Mojo and Python for machine learning. You will learn the strengths, weaknesses, and use cases of these two languages and make an informed decision for your next ML project. Whether you're a data scientist or an engineer working on FPGA acceleration, I have got you covered!
https://youtu.be/FfCm6e-4E7g
6 325
Python Problem: Print Calendar
Learn More Python Tricks: https://bit.ly/45QI3JX
๐Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab
6 325
Are you ready to dive deep into the world of Polynomial Regression? Join me in this comprehensive tutorial where I demystify this powerful machine-learning technique with real-world examples and practical insights.
https://www.youtube.com/watch?v=s_LZLHpXvO4
6 325
๐ Cool Python ๐ Tricks ๐บ
โ Learn More Tricks: https://bit.ly/Pythontoptips
๐Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab
6 325
Python Problem: File Size Checker
Learn More Python Tricks: https://bit.ly/45QI3JX
๐Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab
6 325
๐ Cool Python ๐ Tricks ๐บ
โ List of Projects: https://bit.ly/3ENLUfa
#๐Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab #projects
6 325
Multivariale Linear Regression in Python
https://youtu.be/rhXWCenWd5c
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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6 325
๐ Cool Python ๐ Tricks ๐บ
โ Learn More Tricks: https://bit.ly/Pythontoptips
๐Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab
6 325
Python Problem: Longest Increasing Subsequence
Learn Python Top Tips: https://bit.ly/Pythontoptips
๐Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab
6 325
Python Problem: Word Count Tool
Learn More Python Tricks: https://bit.ly/45QI3JX
๐Join Telegram https://t.me/epythonlab/
#python #shorts #pythontricks #epythonlab
6 325
In this short tutorial, you'll learn how to merge two dataframes based on the column values of another dataframe and avoiding duplicates in both dataframes
https://youtu.be/LYHUAj27-KU
Join Telegram https://t.me/epythonlab
Don't forget to like, share, and subscribe and write your comments and suggestions in the comment box
6 325
Data Structures and
Algorithms in Python http://xpzhang.me/teach/DS19_Fall/book.pdf
Join https://t.me/epythonlab/ for more resources
6 325
Predicting student's test score based on study hours using Linear Regression in Python
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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