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bmtgoncalvesbmtgoncalves
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update notebooks
1 parent f27953c commit 0089807

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lines changed

‎1. Foundations of NLP.ipynb

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@@ -81,15 +81,14 @@
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"CPU cores : 16\n",
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"Architecture: 64bit\n",
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"\n",
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"Git hash: ff70dc0d4a154aacbb783ca5f9a29cf428d000f6\n",
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"Git hash: f27953c25cb37eda249660943e02750136eeb23f\n",
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"\n",
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"pandas : 2.2.3\n",
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"matplotlib: 3.8.0\n",
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"json : 2.0.9\n",
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"sklearn : 1.6.1\n",
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"numpy : 1.26.4\n",
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"nltk : 3.8.1\n",
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"watermark : 2.4.3\n",
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"matplotlib: 3.8.0\n",
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"pandas : 2.2.3\n",
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"numpy : 1.26.4\n",
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"sklearn : 1.6.1\n",
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"\n"
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]
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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": 17,
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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" 'go': 1})"
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]
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},
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"execution_count": 17,
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"execution_count": 16,
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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": 19,
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"execution_count": 17,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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"troubling troubl "
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]
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},
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"execution_count": 21,
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"execution_count": 19,
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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": 22,
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"execution_count": 20,
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"execution_count": 21,
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"metadata": {},
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"execution_count": 22,
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"metadata": {},
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"outputs": [
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{
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"troubling troubl troubling trouble "
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]
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},
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"execution_count": 24,
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"execution_count": 22,
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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": 28,
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"execution_count": 23,
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"metadata": {},
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"outputs": [
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{
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" 'basque']"
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]
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},
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"execution_count": 28,
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"execution_count": 23,
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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": 24,
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"outputs": [
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{
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"go go"
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]
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},
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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": 25,
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},
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{
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"execution_count": 26,
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"outputs": [
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{
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" 'to go']"
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]
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},
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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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"outputs": [
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{
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" (('lamb', 'mary'), 0.08819306486371048)]"
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]
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},
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"execution_count": 33,
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"output_type": "execute_result"
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}
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},
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{
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"4"
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},
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{
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" 'go']]"
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"<Axes: xlabel='Samples', ylabel='Counts'>"
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{
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"0.12602676010180824"
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" 'go': 0.13862943611198905}]"
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}

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