Readme updates and link to pkl files based on great community feedback
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@@ -133,6 +133,21 @@
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5105e13c-bca0-4c70-bfaa-649345f53322",
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"metadata": {},
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"source": [
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"# Loading the pkl files\n",
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"\n",
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"Let's avoid curating all our data again! Load in the pickle files\n",
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"\n",
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"If you didn't already create these in Day 2, you can also download them from my google drive (you'll also find the slides here): \n",
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"https://drive.google.com/drive/folders/1JwNorpRHdnf_pU0GE5yYtfKlyrKC3CoV?usp=sharing\n",
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"\n",
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"But note that the files are quite large - you might need to get a coffee!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@@ -140,7 +155,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"# Let's avoid curating all our data again! Load in the pickle files:\n",
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"\n",
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"\n",
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"with open('train.pkl', 'rb') as file:\n",
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" train = pickle.load(file)\n",
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