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Tweaked slicing indices to use single : instead of ::, which I find more readable. Tweaked Feature: Sex headers.

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Donne Martin 2015-03-20 12:54:20 -04:00
parent 5bc4d9bef4
commit a6153e5020
1 changed files with 10 additions and 9 deletions
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19
kaggle/titanic.ipynb
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@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
"signature": "sha256:708d730926b0a00b95815375c1e8d7f632ca75b748195364102868ffc231fc0c"
"signature": "sha256:46dbdb2807e4db85f0d0d4ed570394551bba3d8cbcdb541f8dd2115388981545"
},
"nbformat": 3,
"nbformat_minor": 0,
@ -26,7 +26,7 @@
"* Setup Imports and Variables\n",
"* Explore the Data\n",
"* Feature: Passenger Classes\n",
"* Feature: Sex (Gender)\n",
"* Feature: Sex\n",
"* Feature: Embarked\n",
"* Feature: Age\n",
"* Feature: Family Size\n",
@ -854,7 +854,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## Feature: Sex (Gender)"
"## Feature: Sex"
]
},
{
@ -2403,10 +2403,10 @@
"collapsed": false,
"input": [
"# Training data (features), skip the first column 'Survived'\n",
"training_input = train_data[0::, 1::]\n",
"training_input = train_data[:, 1:]\n",
"\n",
"# 'Survived' column values\n",
"target_values = train_data[0::, 0]\n",
"target_values = train_data[:, 0]\n",
"\n",
"# Fit the model to our training data\n",
"forest = forest.fit(training_input, target_values)"
@ -2556,7 +2556,7 @@
"collapsed": false,
"input": [
"# Test data (features), skip the first column 'PassengerId'\n",
"test_input = test_data[0::, 1::]\n",
"test_input = test_data[:, 1:]\n",
"\n",
"# Predict the Survival values for the test data\n",
"output = forest.predict(test_input)"
@ -2584,8 +2584,9 @@
"cell_type": "code",
"collapsed": false,
"input": [
"# Concatenate PassengerId and Survived predictions\n",
"result = np.c_[test_data[:, 0].astype(int), output.astype(int)]\n",
"df_result = pd.DataFrame(result[:, 0:2], columns=['PassengerId', 'Survived'])\n",
"df_result = pd.DataFrame(result[:, :], columns=['PassengerId', 'Survived'])\n",
"df_result.head(10)"
],
"language": "python",
@ -2659,7 +2660,7 @@
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 43,
"prompt_number": 61,
"text": [
" PassengerId Survived\n",
"0 892 0\n",
@ -2675,7 +2676,7 @@
]
}
],
"prompt_number": 43
"prompt_number": 61
},
{
"cell_type": "markdown",