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39781cc7cca0dc30af9d6060ede9947c
mooc-rr
Commits
6bae7e15
Commit
6bae7e15
authored
Apr 02, 2020
by
39781cc7cca0dc30af9d6060ede9947c
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Corrections erreurs d'orthographe et de syntaxe
parent
4050bf18
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exercice.ipynb
module2/exo4/exercice.ipynb
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module2/exo4/exercice.ipynb
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6bae7e15
...
@@ -55,7 +55,7 @@
...
@@ -55,7 +55,7 @@
}
}
],
],
"source": [
"source": [
"#Application de l'ACP\n",
"#
Application de l'ACP\n",
"from sklearn.decomposition import PCA\n",
"from sklearn.decomposition import PCA\n",
"pca = PCA()\n",
"pca = PCA()\n",
"pca.fit(leafN)\n",
"pca.fit(leafN)\n",
...
@@ -81,7 +81,7 @@
...
@@ -81,7 +81,7 @@
}
}
],
],
"source": [
"source": [
"# Affichage de
s dcroi
sance des valeurs propres\n",
"# Affichage de
la décrois
sance des valeurs propres\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.pyplot as plt\n",
"plt.plot(pca.explained_variance_ratio_,'.')\n",
"plt.plot(pca.explained_variance_ratio_,'.')\n",
"plt.show()"
"plt.show()"
...
@@ -137,7 +137,7 @@
...
@@ -137,7 +137,7 @@
}
}
],
],
"source": [
"source": [
"# Afficher les données projetées sur les 3 axes princi
a
paux de l'ACP\n",
"# Afficher les données projetées sur les 3 axes principaux de l'ACP\n",
"from mpl_toolkits.mplot3d import Axes3D\n",
"from mpl_toolkits.mplot3d import Axes3D\n",
"fig = plt.figure()\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(111, projection='3d')\n",
"ax = fig.add_subplot(111, projection='3d')\n",
...
...
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