What is this?
This is a large collection of beginner-friendly Python tutorials by MorvanZhou (莫烦Python) covering machine learning, deep learning, reinforcement learning and related tools, each tutorial paired with a video lesson.
This is a large collection of beginner-friendly Python tutorials by MorvanZhou (莫烦Python) covering machine learning, deep learning, reinforcement learning and related tools, each tutorial paired with a video lesson.Is this a library or a collection of lesson code?It is a collection of standalone tutorial scripts and examples organized by topic (one folder per framework/topic), not an installable library or framework.
It is a collection of standalone tutorial scripts and examples organized by topic (one folder per framework/topic), not an installable library or framework.How do I start using these tutorials?Clone the repository and open the folder for the topic you want (e.g. Tensorflow, PyTorch, Reinforcement Learning); each script is runnable on its own and corresponds to a video lesson.
Clone the repository and open the folder for the topic you want (e.g. Tensorflow, PyTorch, Reinforcement Learning); each script is runnable on its own and corresponds to a video lesson.What libraries do I need installed to run the examples?Depending on the folder you pick, you'll need the matching library such as TensorFlow, PyTorch, Theano, Keras, Scikit-Learn, Numpy, Pandas or Matplotlib.
Depending on the folder you pick, you'll need the matching library such as TensorFlow, PyTorch, Theano, Keras, Scikit-Learn, Numpy, Pandas or Matplotlib.Who is this aimed at?It's aimed at beginners wanting a practical, hands-on introduction to Python, machine learning and neural networks, following along with video lessons.
It's aimed at beginners wanting a practical, hands-on introduction to Python, machine learning and neural networks, following along with video lessons.What topics are covered besides machine learning frameworks?It also covers Python basics, multithreading, multiprocessing, a simple GUI with tkinter, web scraping, Git version control, and a basic Linux tutorial.
It also covers Python basics, multithreading, multiprocessing, a simple GUI with tkinter, web scraping, Git version control, and a basic Linux tutorial.Are the tutorials text-only or do they have videos?Each tutorial comes with an accompanying video lesson recorded by the author in his spare time.
Each tutorial comes with an accompanying video lesson recorded by the author in his spare time.What reinforcement learning or evolutionary topics are included?The reinforcement learning section covers RL algorithms, and there's a separate section on evolutionary algorithms such as genetic algorithms.
The reinforcement learning section covers RL algorithms, and there's a separate section on evolutionary algorithms such as genetic algorithms.Is the README in English?No, the README and most tutorial content is written in Chinese.
No, the README and most tutorial content is written in Chinese.What are similar projects?ailearning, machine-learning-zoomcamp, 100-Days-Of-ML-Code, Ai-Learn, data-science-ipython-notebooks, cheatsheets-ai, DeepLearning, handson-ml3
ailearning, machine-learning-zoomcamp, 100-Days-Of-ML-Code, Ai-Learn, data-science-ipython-notebooks, cheatsheets-ai, DeepLearning, handson-ml3Which topics is it in?keras, pandas, numpy, tensorflow, reinforcement-learning, web-scraping, neural-network, beginner-friendly, pytorch, tutorial, curated-list, deep-learning
keras, pandas, numpy, tensorflow, reinforcement-learning, web-scraping, neural-network, beginner-friendly, pytorch, tutorial, curated-list, deep-learning