Tensorflow and Estimators can be used to predict the output of the titanic dataset using the previously created estimator ‘BoostedTreesClassifier’ and calling the ‘predict’ method on it.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful ... Read More

Tensorflow and Estimator can be used with Boosted trees to train and evaluate the model with the help of ‘BoostedTreesClassifier’. This estimator is used with the ‘train’ method and the ‘evaluate’ method to train and evaluate the dataset respectively.Read More: What is TensorFlow and how Keras work with TensorFlow to ... Read More

Tensorflow and Estimator can be used to define input function for training and evaluation of dataset that generates a dictionary using the features, and labels. This is achieved using the ‘from_tensor_slices’ method. This function will also shuffle the data in the dataset, as well as define the number of training ... Read More

Tensorflow can be used to train and evaluate the titanic dataset using the ‘train’ method and the ‘evaluate’ method respectively.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is ... Read More

All the feature columns of the dataset can be viewed using Tensorflow and Estimator with the help of the ‘DenseFeatures’ method. This data is converted into Numpy array so that it can be viewed on the console.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural ... Read More

Tensorflow can be used with Estimator to transform the feature column by first converting the first row of the dataset into a dictionary, and then uses one-hot encoding to transform this feature column, i.e. the ‘gender’ column.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural ... Read More

Tensorflow can be used with Estimators to create feature columns and input functions by using one-hot encoding method. The ‘feature_column.indicator_column’ is used to return the output of this one-hot encoding technique.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential ... Read More

Tensorflow can be used with Estimators to visualise the plot of number of males versus females with the help of ‘matplotlib’ library and ‘show’ method.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building ... Read More

Tensorflow can be used with Estimators to determine data about the class to which every passenger in the titanic dataset belongs to, with the help of the ‘value_counts’ method. This data is visualized as a horizontal bar graph.Read More: What is TensorFlow and how Keras work with TensorFlow to create ... Read More

The ‘gender’ column will be used in the prediction as well, hence it is important to understand more about it. This can be done by visualizing the ‘age’ column as a horizontal bar plot.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use ... Read More