Learn Python and Machine Learning for free on YouTube

Sharmasaravanan
1 min readFeb 27, 2023

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Are you interested in learning Python, data analysis, web development, and machine learning, but don’t know where to start? Look no further than YouTube!

There are plenty of high-quality and engaging YouTube channels and videos that can teach you these topics for free. In this blog post, I’ll share with you some of the best channels and videos on YouTube for learning Python, Pandas, Numpy, Matplotlib, Seaborn, OOP, Machine Learning, and Deep Learning.

Python

  • Corey Schafer’s Python Tutorial Series
  • Programming with Mosh’s Python Tutorial for Beginners

Pandas

  • Keith Galli’s Pandas Tutorial Series
  • Data School’s Pandas Tutorial Playlist

Numpy

  • FreeCodeCamp’s Numpy Tutorial Playlist
  • Codebasics’ Numpy Tutorial Series

Matplotlib and Seaborn

  • Matplotlib’s Official Tutorials
  • Sentdex’s Matplotlib Tutorial Series
  • Corey Schafer’s Seaborn Tutorial Video

OOP

  • Derek Banas’ Object-Oriented Programming Tutorial Series
  • Corey Schafer’s OOP Python Tutorial Videos

Machine Learning and Deep Learning

  • Sentdex’s Machine Learning with Python Tutorial Series
  • Andrew Ng’s Machine Learning Course
  • TensorFlow’s Deep Learning Tutorial Videos

Each of these channels and videos has a high number of views and likes, and they offer great content in English. The best part is, they’re all free to access! So, if you’re looking to expand your skill set and learn about these in-demand topics, head over to YouTube and check out these channels and videos. Don’t forget to subscribe to my blog and their channels to get updates when we post new content.

Happy learning!

Adios, me gusta!! 🤗🤗

#Python #DataAnalysis #WebDevelopment #MachineLearning #DeepLearning #YouTube #FreeResources #Technology #Blog

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Sharmasaravanan
Sharmasaravanan

Written by Sharmasaravanan

Versatile AI/ML maestro with 500+ deployed microservices for image/text processing. AWS and CI/CD virtuoso. Crafting the future, one line of code at a time. ✨

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