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Epython Lab

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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Just to know, What topic do you want me to make a short tutorial? Comment your topic

Which one is correct steps of Data Modelling?
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Learn dictionary in simple way @epythonlab
Learn dictionary in simple way @epythonlab

Watch now

Data Modelling in Python Subscribe and Share https://youtu.be/k8zjhbVUrhs

Happy birthday 🎉🥳 Python Python was invented today. Who were invented python? @epythonlab
Happy birthday 🎉🥳 Python Python was invented today. Who were invented python? @epythonlab

Python Data Structures CheetSheet @epythonlab #pythonbooks

Join NoNOW

I apologize, due to some technical issues here , I postponed the meeting to tomorrow at 2:00 PM afternoon, In Kenya time. Schedule your time to tomorrow. Have a nice time. Asibeh Tenager is inviting you to a scheduled Zoom meeting. Topic: Data Modelling in Python Webinar Time: Feb 19, 2022 02:00 PM Nairobi Join Zoom Meeting https://us05web.zoom.us/j/89648184751?pwd=VFFrRHc5dHNubjhGRWVZYk14OU5QUT09 Meeting ID: 896 4818 4751 Passcode: e8dJm7

It's time to go...

Data Modelling in Python Asibeh Tenager is inviting you to a scheduled Zoom meeting. Topic: Data Modelling in Python Webinar Time: Feb 18, 2022 08:00 PM Nairobi Join Zoom Meeting https://us05web.zoom.us/j/89648184751?pwd=VFFrRHc5dHNubjhGRWVZYk14OU5QUT09 Meeting ID: 896 4818 4751 Passcode: e8dJm7

Data Modelling in Python Webinar on Friday @2:00PM(GMT+3) If you're interested, I will share zoom meeting link tomorrow.
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Python Keywords CheetSheet @epythonlab #pythonbooks

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CheatSheet-Python-1_-Keywords1.pdf0.83 KB

How do we define private variable in Python?
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🔥 Faster Python calculations with Numba: 2 lines of code, 13× speed-up https://pythonspeed.com/articles/numba-faster-python/
🔥 Faster Python calculations with Numba: 2 lines of code, 13× speed-up https://pythonspeed.com/articles/numba-faster-python/ @epythonlab #article

FUNDAMENTALS OF SUPERVISED LEARNING CONTENTS - Introduction - Overview of Supervised Learning - Model Learning - Basis Expans
FUNDAMENTALS OF SUPERVISED LEARNING CONTENTS - Introduction - Overview of Supervised Learning - Model Learning - Basis Expansion & Regularization - Model Selection - Feature Selection - Data Preparation Source: https://github.com/5x12/themlsbook @epythonlab #mlbooks

Which statement is correct?
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