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05_pet_breeds.ipynb

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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.6"
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}
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},
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"nbformat": 4,

09_tabular.ipynb

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"xs_filt2 = xs_filt.drop('fiModelDescriptor', axis=1)\n",
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"valid_xs_time2 = valid_xs_time.drop('fiModelDescriptor', axis=1)\n",
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"m2 = rf(xs_filt2, y_filt)\n",
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"m_rmse(m2, xs_filt2, y_filt), m_rmse(m2, valid_xs_time2, valid_y)"
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"m_rmse(m, xs_filt2, y_filt), m_rmse(m2, valid_xs_time2, valid_y)"
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]
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},
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{

10_nlp.ipynb

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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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}
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},
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"nbformat": 4,

clean/05_pet_breeds.ipynb

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"1. What two steps does the fine_tune method do?\n",
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"1. In Jupyter notebook, how do you get the source code for a method or function?\n",
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"1. What are discriminative learning rates?\n",
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"1. How is a Python slice object interpreted when past as a learning rate to fastai?\n",
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"1. How is a Python slice object interpreted when passed as a learning rate to fastai?\n",
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"1. Why is early stopping a poor choice when using one cycle training?\n",
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"1. What is the difference between resnet 50 and resnet101?\n",
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"1. What does to_fp16 do?"

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