titanic start

Author: whyboris

conv-net-mnist.py

@@ -19,7 +19,6 @@
 train_labels = to_categorical(train_labels)
 validation_labels = to_categorical(validation_labels)
 
-
 from keras import models
 from keras import layers
 

mnist.py

@@ -22,10 +22,10 @@
 
 train_images = train_images.reshape((60000, 28 * 28))
 train_images = train_images.astype('float32') / 255
+
 test_images = test_images.reshape((10000, 28 * 28))
 test_images = test_images.astype('float32') / 255
 
-
 from keras.utils import to_categorical
 
 train_labels = to_categorical(train_labels)

titanic.py

@@ -0,0 +1,10 @@
+print('try the titanic Kaggle competition')
+
+import pandas as pd 
+
+titanic_path = '../titanic/data.csv'
+
+dataset = pd.read_csv(titanic_path, quotechar='"')
+
+print(dataset.iloc[0:5, 0:10])
+