> For the complete documentation index, see [llms.txt](https://igb.mit.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://igb.mit.edu/mini-courses/python/machine-learning-with-python/hands-on/further-resources.md).

# Further Resources

[StatQuest with Josh Starmer](https://www.youtube.com/c/joshstarmer/videos)

[6S19|Introduction to Deep Learning@MITDeepLearning](http://introtodeeplearning.com/)

[DragoNN:a toolkit to teach and learn about deep learning for genomics](https://kundajelab.github.io/dragonn/)

[Machine Learning with Python: from Linear Models to Deep Learning](https://www.edx.org/course/machine-learning-with-python-from-linear-models-to)

[scikit-learn](https://scikit-learn.org/stable/)

[PyTorch](https://pytorch.org/)

[fast.ai](https://fast.ai)