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updated notebook
updated notebook
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bike_sharing/bike_notebook.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"In the bike sharing competition, we want to **predict the bike demand** given temporal data X of bike checkouts and associated features such as season, temperature, humidity, weather and others. First we'll read in the data and set the datetime as the index. In addition, we are going to **generate features** from the timestamp such as the **hour** and **day of the week**."
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"In the bike sharing competition, we want to **predict the bike demand** given temporal data of bike checkouts and associated features such as season, temperature, humidity, weather and others. First we'll read in the data and set the datetime as the index. In addition, we are going to **generate features** from the timestamp such as the **hour** and **day of the week**."
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]
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},
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{
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"plt.bar(range(num_features), feature_ranks, width)\n",
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"plt.xticks(np.arange(num_features)+width/2.0,tuple(train_cols),rotation='vertical',fontsize=16)\n",
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"plt.subplots_adjust(bottom=0.25)\n",
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"plt.show()\n"
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"plt.show()"
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],
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"language": "python",
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"metadata": {},

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