Add syntax highlighting for code sample in Markdown
Aurélien Geron
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@ -180,13 +180,17 @@
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"Replacing the Linear Regression model with k-Nearest Neighbors (in this example, k = 3) regression in the previous code is as simple as replacing these two\n",
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"lines:\n",
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"\n",
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"```python\n",
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"import sklearn.linear_model\n",
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"model = sklearn.linear_model.LinearRegression()\n",
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"```\n",
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"\n",
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"with these two:\n",
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"\n",
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"```python\n",
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"import sklearn.neighbors\n",
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"model = sklearn.neighbors.KNeighborsRegressor(n_neighbors=3)"
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"model = sklearn.neighbors.KNeighborsRegressor(n_neighbors=3)\n",
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"```"
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]
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},
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@ -264,7 +268,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -291,7 +295,7 @@
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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": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -316,7 +320,7 @@
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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": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -328,7 +332,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -351,7 +355,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -364,7 +368,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -375,7 +379,7 @@
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},
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 15,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -384,7 +388,7 @@
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -397,7 +401,7 @@
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 17,
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"metadata": {},
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"outputs": [],
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@ -423,7 +427,7 @@
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 18,
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"metadata": {},
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"outputs": [],
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@ -432,7 +436,7 @@
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": 19,
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"metadata": {},
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"outputs": [],
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@ -441,7 +445,7 @@
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [],
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@ -466,7 +470,7 @@
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"cell_type": "code",
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"execution_count": 20,
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"execution_count": 21,
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"metadata": {},
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@ -481,7 +485,7 @@
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"cell_type": "code",
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"execution_count": 21,
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"execution_count": 22,
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"metadata": {},
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 22,
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"execution_count": 23,
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"metadata": {},
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"outputs": [],
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@ -510,7 +514,7 @@
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"cell_type": "code",
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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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"cell_type": "code",
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"execution_count": 24,
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"execution_count": 25,
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": 25,
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"execution_count": 26,
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"metadata": {},
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"outputs": [],
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -569,7 +573,7 @@
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {},
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"outputs": [],
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"cell_type": "code",
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"metadata": {},
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"metadata": {},
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"cell_type": "code",
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"metadata": {},
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 31,
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"metadata": {},
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {},
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"source": [
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"cell_type": "code",
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"cell_type": "code",
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"metadata": {},
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"cell_type": "code",
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"execution_count": 37,
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"cell_type": "code",
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"execution_count": 38,
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"metadata": {},
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{
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"cell_type": "code",
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"execution_count": 39,
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"execution_count": 40,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -807,8 +811,9 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.9.4 64-bit",
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"name": "python39464bite0b9acfa2c9e400a974360d829d6c43a"
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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