Add notebook for chapter 13, loading and preprocessing data
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@ -26,51 +26,53 @@
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##### Core scientific packages
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jupyter==1.0.0
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matplotlib==3.0.2
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numpy==1.15.4
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pandas==0.23.4
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scipy==1.2.0
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jupyter-client==5.2.4
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jupyter-console==6.0.0
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jupyter-core==4.4.0
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matplotlib==3.0.3
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numpy==1.16.2
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pandas==0.24.1
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scipy==1.2.1
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##### Machine Learning packages
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scikit-learn==0.20.2
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scikit-learn==0.20.3
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# Optional: the XGBoost library is only used in the ensemble learning chapter.
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xgboost==0.81
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xgboost==0.82
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##### Deep Learning packages
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# Replace tensorflow with tensorflow-gpu if you want GPU support. If so,
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# you need a GPU card with CUDA Compute Capability 3.0 or higher support, and
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# you need a GPU card with CUDA Compute Capability 3.5 or higher support, and
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# you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
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# installation instructions.
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tf-nightly-2.0-preview
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#tf-nightly-gpu-2.0-preview
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#tensorflow==1.12.0
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#tensorflow-gpu==1.12.0
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#tensorflow-hub==0.2.0
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#tensorflow-probability==0.5.0
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tb-nightly
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#tensorflow-hub
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#tensorflow-probability
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# Optional: OpenAI gym is only needed for the Reinforcement Learning chapter.
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# There are a few dependencies you need to install first, check out:
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# https://github.com/openai/gym#installing-everything
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#gym[all]==0.10.9
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#gym[all]
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# If you only want to install the Atari dependency, uncomment this line instead:
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#gym[atari]==0.10.9
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#gym[atari]
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##### Image manipulation
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imageio==2.4.1
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Pillow==5.3.0
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scikit-image==0.14.1
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imageio==2.5.0
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Pillow==5.4.1
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scikit-image==0.14.2
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##### Extra packages (optional)
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# Nice utility to diff Jupyter Notebooks.
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#nbdime==1.0.4
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#nbdime
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# May be useful with Pandas for complex "where" clauses (e.g., Pandas
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# tutorial).
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@ -79,8 +81,8 @@ numexpr==2.6.9
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# Optional: these libraries can be useful in the classification chapter,
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# exercise 4.
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nltk==3.4
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urlextract==0.8.3
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urlextract==0.9
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# Optional: this extension is handy to easily start/stop tensorboard
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# server(s) directly from Jupyter.
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#jupyter-tensorboard==0.1.8
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# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
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tqdm==4.31.1
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ipywidgets==7.4.2
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