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cheese.ipynb
18
cheese.ipynb
@ -8,6 +8,14 @@
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"# DM project: cheese"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ceb71784-b0bf-4015-b8e6-78007c368e49",
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"metadata": {},
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"source": [
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"For this project, we chose to study cheeses. We retrieved [the following dataset from Kaggle](https://www.kaggle.com/datasets/joebeachcapital/cheese) that gives several characteristics for more than $1000$ cheeses. We have information about the origin, the milk, types, texture, rind, flavor, etc. of these cheeses. "
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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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@ -41,14 +49,6 @@
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"from sklearn.neighbors import KNeighborsClassifier"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ceb71784-b0bf-4015-b8e6-78007c368e49",
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"metadata": {},
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"source": [
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"For this project, we chose to study cheeses. We retrieved [the following dataset from Kaggle](https://www.kaggle.com/datasets/joebeachcapital/cheese) that gives several characteristics for more than $1000$ cheeses. We have information about the origin, the milk, types, texture, rind, flavor, etc. of these cheeses. "
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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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@ -192,7 +192,7 @@
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"id": "2f42c973-247a-4f51-947e-fbd76f8f12fc",
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"metadata": {},
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"source": [
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"We removed 41 cheeses because they can come froms several countries. "
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"We removed 41 cheeses because they can come from several countries. "
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]
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},
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{
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