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 * [PyTorch tutorials](https://pytorch.org/tutorials) - PyTorch.org
 * [Stanford SEE 229 - Machine Learning](https://see.stanford.edu/Course/CS229)
 * [Stanford University Machine Learning](https://www.coursera.org/learn/machine-learning)
+* [Statistics and Machine Learning in R](https://youtube.com/playlist?list=PLblh5JKOoLUJJpBNfk8_YadPwDTO2SCbx) - StatQuest by Josh Starmer
 * [Statistics for Applications](https://ocw.mit.edu/courses/18-650-statistics-for-applications-fall-2016/) - MIT OpenCourseWare
 * [Understand Machine Learning Engineering by Building Projects](https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp) - Alexey Grigorev
 * [Understanding AI from Scratch – Neural Networks Course](https://www.youtube.com/watch?v=VgzHT9quo5c) - Radu (FreeCodeCamp)