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9a2196f412490e364d01db02df46721d
mooc-rr
Commits
3ee03c2a
Commit
3ee03c2a
authored
Apr 13, 2019
by
Konrad Hinsen
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Correction de la version Python de l'exercice Challenger
parent
f186adfd
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exo5_en.ipynb
module2/exo5/exo5_en.ipynb
+27
-33
exo5_fr.ipynb
module2/exo5/exo5_fr.ipynb
+25
-29
exo5_python_en.org
module2/exo5/exo5_python_en.org
+1
-1
exo5_python_fr.org
module2/exo5/exo5_python_fr.org
+1
-1
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module2/exo5/exo5_en.ipynb
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module2/exo5/exo5_fr.ipynb
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module2/exo5/exo5_python_en.org
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3ee03c2a
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@@ -173,7 +173,7 @@ this temperature from the model we just built:
import matplotlib.pyplot as plt
data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})
data_pred['Frequency'] = logmodel.predict(data_pred)
data_pred['Frequency'] = logmodel.predict(data_pred
[['Intercept','Temperature']]
)
data_pred.plot(x="Temperature",y="Frequency",kind="line",ylim=[0,1])
plt.scatter(x=data["Temperature"],y=data["Frequency"])
plt.grid(True)
...
...
module2/exo5/exo5_python_fr.org
View file @
3ee03c2a
...
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@@ -175,7 +175,7 @@ cette température à partir du modèle que nous venons de construire:
import matplotlib.pyplot as plt
data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})
data_pred['Frequency'] = logmodel.predict(data_pred)
data_pred['Frequency'] = logmodel.predict(data_pred
[['Intercept','Temperature']]
)
data_pred.plot(x="Temperature",y="Frequency",kind="line",ylim=[0,1])
plt.scatter(x=data["Temperature"],y=data["Frequency"])
plt.grid(True)
...
...
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