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Here's what I'm up to currently:


  • Udacity Deep Learning Nanodegree: I'm familiar with the fundamentals of DL, still taking this one to learn from the projects, as well as to get some practice with PyTorch.
  • Seems like a good hands-on course on data analysis and traditional ML. Offers super detailed Kaggle kernels to learn from.