allineamento consegna AVI2026
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@ -77,7 +77,7 @@
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},
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 8,
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"id": "b8333dce",
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"metadata": {},
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"outputs": [],
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},
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 9,
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"id": "a3f57d18",
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"metadata": {},
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"outputs": [
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"[494 rows x 28 columns]"
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]
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},
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"execution_count": 4,
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -573,7 +573,7 @@
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},
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 10,
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"id": "774563d3",
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"metadata": {},
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"outputs": [
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"[494 rows x 29 columns]"
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]
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},
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"execution_count": 5,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -1062,6 +1062,17 @@
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"df"
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]
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"cell_type": "code",
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"execution_count": null,
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"id": "3d64575e",
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"metadata": {},
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"outputs": [],
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"source": [
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"# se voglio rileggere direttamente dataset completo senza rifare gli step di lettuta e aggiornamento\n",
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"#df= pd.read_csv(\"dataset_esercitazione_multiple_CLIP_ita.csv\",sep=\";\")"
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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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},
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 12,
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"id": "0c86842b",
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"metadata": {},
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"outputs": [],
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@ -1083,7 +1094,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 13,
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"id": "df75551e",
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"metadata": {},
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"outputs": [
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"[494 rows x 29 columns]"
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]
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},
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"execution_count": 9,
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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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": 10,
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"execution_count": 14,
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"id": "7b0da02a",
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"metadata": {},
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"outputs": [
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@ -1666,7 +1677,7 @@
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"max 38.108000 38.108000 39.109000 38.338000"
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]
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},
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"execution_count": 10,
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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