# TensorFlow Tutorial— Part 1

Nov 19, 2015 · 3 min read

## Simple model for Titanic dataset

`pip install numpy scipy sklearn pandas# For Ubuntu:pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl# For Mac:pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.8.0-py2-none-any.whl`
`git clone https://github.com/ilblackdragon/tf_examples.git`
`>>> import pandas>>> data = pandas.read_csv('data/titanic_train.csv')>>> data.shape(891, 12)>>> data.columnsIndex([u'PassengerId', u'Survived', u'Pclass', u'Name', u'Sex', u'Age',       u'SibSp', u'Parch', u'Ticket', u'Fare', u'Cabin', u'Embarked'],      dtype='object')>>> data[:1]   PassengerId  Survived  Pclass                     Name   Sex  Age  SibSp  0            1         0       3  Braund, Mr. Owen Harris  male   22      1   Parch     Ticket  Fare Cabin Embarked0      0  A/5 21171  7.25   NaN        S`
`>>> y, X = train['Survived'], train[['Age', 'SibSp', 'Fare']].fillna(0)>>> X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)>>> lr = LogisticRegression()>>> lr.fit(X_train, y_train)>>> print accuracy_score(y_test, lr.predict(X_test))0.664804469274`
`>>> from tensorflow.contrib import learn>>> import random>>> random.seed(42) # to sample data the same way>>> classifier = learn.LinearClassifier(n_classes=2, feature_columns=learn.infer_real_valued_columns_from_input(X_train), optimizer=tf.train.GradientDescentOptimizer(learning_rate=0.05))>>> classifier.fit(X_train, y_train, batch_size=128, steps=500)>>> print accuracy_score(classifier.predict(X_test), y_test)0.68156424581`

Written by

## Illia Polosukhin

#### Co-Founder @ NEAR Protocol - leading mobile blockchain revolution. I'm tweeting as @ilblackdragon.

Welcome to a place where words matter. On Medium, smart voices and original ideas take center stage - with no ads in sight. Watch
Follow all the topics you care about, and we’ll deliver the best stories for you to your homepage and inbox. Explore
Get unlimited access to the best stories on Medium — and support writers while you’re at it. Just \$5/month. Upgrade