🔅 Python for Data Science Tips, Tricks, and Techniques

📋 Topics: #DataScience, #Python

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🔖 26 lectures on Deep Learning for free 🧠✨

The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. 🚀📚

A good option for getting started with neural networks and Data Science. 🤖📊

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10 Best Advanced Machine Learning Courses You Must Know in 2026 🤖📚

Are you looking for the Best Advanced Machine Learning Courses?… If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses. 🧠💡

Link: https://www.mltut.com/best-advanced-machine-learning-courses/ 🔗

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A new collection of free courses has been added:

🔗 https://github.com/dair-ai/ML-Course-Notes

Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. 📚

Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. 🧠

What's inside:

• Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
• A table with lectures, descriptions, videos, notes, and authors
• Links to the original lectures and accompanying notes
• WIP markers for incomplete materials
• Instructions for contributors on adding and improving notes

The idea was appreciated. 👍

Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. 🗺️

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Python in one hour

In the video, the main topics of Python are briefly and clearly explained: from basic syntax to functions and working with files

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- Python cheat sheet: https://mosh.link/python-cheatsheet

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Python Practice Test Beginner to Advanced Quizzes, MCQs

Sharpen your Python skills with 300+ MCQs, quizzes, and exam simulations. Covers basics, OOPs, file handling, libraries…

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Advanced Python: Working With Data 🐍📊

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From Jupyter Notebook to a production AI system.

Learning the API is the bridge between them.

I highly recommend this free playlist on backend development for ML engineers.

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Learn AI Python Machine Learning Data Science Big Data

Complete Guide to AI, Python, Machine Learning, Data Science and Big Data Analytics for Real-World Applications…

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