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- [Better Heatmaps and Correlation Matrix Plots](https://towardsdatascience.com/better-heatmaps-and-correlation-matrix-plots-in-python-41445d0f2bec)
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## Scikit learn: online resources
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## ML libraries and tools
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- [Free online course on AI](https://www.elementsofai.com/)
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- [AI: Google](https://ai.google/education)
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- [ML course from Google](https://developers.google.com/machine-learning/crash-course)
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- [Facebook field guide to ML](https://research.fb.com/blog/2018/05/the-facebook-field-guide-to-machine-learning-video-series/)
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## Scikit learn
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We will be using Scikit-Learn for importing a variety of ML libraries, particularly in the first 4 weeks of the lecture. Here you can find additional online resources on the "smart" usage of this practical tool.
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- [Scikit-Learn Tips](https://github.com/justmarkham/scikit-learn-tips) |
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- [User guide](https://scikit-learn.org/stable/user_guide.html)
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- [Scikit-Learn Tips](https://github.com/justmarkham/scikit-learn-tips)
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## TensorFlow
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- [Tutorials](https://www.tensorflow.org/tutorials) |
