| ... | @@ -51,12 +51,14 @@ We will be using Scikit-Learn for importing a variety of ML libraries, particula |
... | @@ -51,12 +51,14 @@ We will be using Scikit-Learn for importing a variety of ML libraries, particula |
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- [User guide](https://scikit-learn.org/stable/user_guide.html)
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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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- [Scikit-Learn Tips](https://github.com/justmarkham/scikit-learn-tips)
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-[9 Scikit-Learn Tips for Data Scientist](https://medium.com/@simonprdhm/9-scikit-learn-tips-for-data-scientist-2a84ffb385ba)
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## TensorFlow
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## TensorFlow
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- [Tutorials](https://www.tensorflow.org/tutorials)
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- [Tutorials](https://www.tensorflow.org/tutorials)
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- [Tensorboad for visualization](https://www.tensorflow.org/tensorboard/)
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- [Tensorboad for visualization](https://www.tensorflow.org/tensorboard/)
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- [How to Install TensorFlow 2 in Anaconda](https://365datascience.com/tutorials/machine-learning-tutorials/install-tensorflow-2-anaconda/)
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## Useful tools
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## Useful tools
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| ... | @@ -72,6 +74,8 @@ We will be using Scikit-Learn for importing a variety of ML libraries, particula |
... | @@ -72,6 +74,8 @@ We will be using Scikit-Learn for importing a variety of ML libraries, particula |
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- [Pipeline tracking and production model management](https://wandb.ai/site/artifacts)
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- [Pipeline tracking and production model management](https://wandb.ai/site/artifacts)
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- [Gallery of interesting Jupyter Notebooks](https://github.com/jupyter/jupyter/wiki)
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## Others places to look for answers
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## Others places to look for answers
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