修改过期图片链接

martin6336 · Aug 25, 2019 · 8b47d37 · 8b47d37
1 parent 85a1092
commit 8b47d37
Showing 1 changed file with 20 additions and 18 deletions.
diff --git a/docs/Kaggle/competitions/getting-started/titanic/README.md b/docs/Kaggle/competitions/getting-started/titanic/README.md
@@ -65,24 +65,26 @@ test = pd.read_csv('%s/%s' % (root_path, 'test.csv'))
 
 | 特征 | 描述 | 值|
 | - | - | - |
-| survival | 生存           | 0 = No, 1 = Yes |
-| pclass   | 票类别-社会地位  | 1 = 1st, 2 = 2nd, 3 = 3rd |  
-| sex      | 性别           | |
+| PassengerId | 乘客ID      | |
+| Survived | 生存           | 0 = No, 1 = Yes |
+| Pclass   | 票类别-社会地位 | 1 = 1st, 2 = 2nd, 3 = 3rd |  
+| Name     | 姓名           | |  
+| Sex      | 性别           | |
 | Age      | 年龄           | |    
-| sibsp    | 兄弟姐妹/配偶   | | 
-| parch    | 父母/孩子的数量 | |
-| ticket   | 票号           | |   
-| fare     | 乘客票价       | |  
-| cabin    | 客舱号码       | |    
-| embarked | 登船港口       | C=Cherbourg, Q=Queenstown, S=Southampton |  
+| SibSp    | 兄弟姐妹/配偶   | | 
+| Parch    | 父母/孩子的数量 | |
+| Ticket   | 票号           | |   
+| Fare     | 乘客票价       | |  
+| Cabin    | 客舱号码       | |    
+| Embarked | 登船港口       | C=Cherbourg, Q=Queenstown, S=Southampton |  
 
 ### 特征详情
 
 ```python
 train.head(5)
 ```
 
-![](/img/competitions/getting-started/titanic/titanic_top_5.jpg)
+![](../../../img/competitions/getting-started/titanic/titanic_top_5.jpg)
 
 ```python
 # 返回每列列名,该列非nan值个数,以及该列类型
@@ -134,7 +136,7 @@ memory usage: 36.0+ KB
 train.describe()
 ```
 
-![](/img/competitions/getting-started/titanic/titanic_train_desc.jpg)
+![](../../../img/competitions/getting-started/titanic/titanic_train_desc.jpg)
 
 ### 特征分析（统计学与绘图）
 目的:初步了解数据之间的相关性,为构造特征工程以及模型建立做准备
@@ -237,7 +239,7 @@ a = plt.subplots(figsize=(15,9))#调整画布大小
 a = sns.heatmap(train_corr, vmin=-1, vmax=1 , annot=True , square=True)#画热力图
 ```
 
-![png](/img/competitions/getting-started/titanic/titanic_corr_analysis.png)
+![png](../../../img/competitions/getting-started/titanic/titanic_corr_analysis.png)
 
 > 2)各个数据与结果的关系
 
@@ -292,7 +294,7 @@ train[['Pclass','Survived']].groupby(['Pclass']).mean().plot.bar()
 <matplotlib.axes._subplots.AxesSubplot at 0xc33fa90>
 ```
 
-![png](/img/competitions/getting-started/titanic/titanic_pclass_bar.png)
+![png](../../../img/competitions/getting-started/titanic/titanic_pclass_bar.png)
 
 * ② Sex,性别
 
@@ -333,7 +335,7 @@ train[['Sex','Survived']].groupby(['Sex']).mean().plot.bar()
 <matplotlib.axes._subplots.AxesSubplot at 0x105c4b630>
 ```
 
-![png](/img/competitions/getting-started/titanic/titanic_sex_bar.png)
+![png](../../../img/competitions/getting-started/titanic/titanic_sex_bar.png)
 
 * ③ SibSp and Parch  兄妹配偶数/父母子女数
 
@@ -394,7 +396,7 @@ train[['Parch','Survived']].groupby(['Parch']).mean().plot.bar()
 <matplotlib.axes._subplots.AxesSubplot at 0x1144385c0>
 ```
 
-![png](/img/competitions/getting-started/titanic/titanic_parch_bar.png)
+![png](../../../img/competitions/getting-started/titanic/titanic_parch_bar.png)
 
 * ④ Age年龄与生存情况的分析.
 
@@ -409,15 +411,15 @@ g.map(plt.hist, 'Age', bins=40)
 <seaborn.axisgrid.FacetGrid at 0xc5f7cf8>
 ```
 
-![png](/img/competitions/getting-started/titanic/titanic_age_map.png)
+![png](../../../img/competitions/getting-started/titanic/titanic_age_map.png)
 
 ```python
 train.groupby(['Age'])['Survived'].mean().plot()
 
 <matplotlib.axes._subplots.AxesSubplot at 0xc71ac18>
 ``` 
 
-![png](/img/competitions/getting-started/titanic/titanic_age_axes.png)
+![png](../../../img/competitions/getting-started/titanic/titanic_age_axes.png)
 
 * ⑤ Embarked登港港口与生存情况的分析
 
@@ -429,7 +431,7 @@ sns.countplot('Embarked',hue='Survived',data=train)
 <matplotlib.axes._subplots.AxesSubplot at 0xca1e5f8>
 ```
 
-![png](/img/competitions/getting-started/titanic/titanic_embarked_count.png)
+![png](../../../img/competitions/getting-started/titanic/titanic_embarked_count.png)
 
 * ⑥ 其他因素