Metadata about the dataset can be displayed using the ‘describe’ method, as well as by visualizing the dataset, with specific statistic. The ‘hist’ method can be used to visualize a histogram with respect to a specific column.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural ... Read More

Boosted trees with Tensorflow can be used to show a sample of the titanic dataset using the ‘head’ method, the ‘describe’ method and the ‘shape’ method. The head method gives the first few rows of the dataset, and the describe method gives information about the dataset, such as column names, ... Read More

Tensorflow can be used with boosted trees to improve the prediction performance of the dataset. The data is loaded, and pre-processed in the way it is usually done, but when the predictions are made, multiple models are used for the predictions, and the output of all these models is combined ... Read More

The titanic dataset model can be visualized and the ROC curve can be visualized to understand the performance with the help of the ‘matplotlib’ and ‘roc_curve’ (which is present in the ‘sklearn.metrics’ module) methods respectively.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will ... Read More

The model associated with titanic dataset can be optimized to give better performance after the specific columns are added. Once the columns are added, and trained, and the model is evaluated, the model will be trivially optimized, thereby giving better performance.Read More: What is TensorFlow and how Keras work with ... Read More

A column can be added to the titanic dataset using Tensorflow by using the ‘crossed_column’ method which is present in the ‘feature_column’ class of ‘Tensorflow’ module. The model can be trained again using the ‘train’ method.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We ... Read More

The titanic dataset can be trained by creating a model using the ‘LinearClassifier’, and training it using the ‘train’ method. The train method is present in the ‘estimator’ class of tensorflow library.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras ... Read More

Data transformation can be performed on the titanic dataset with the help of the ‘DenseFeatures’ method. The columns that need to be transformed, are converted into a Numpy array.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which ... Read More

A specific column in the titanic dataset can be inspected by accessing the column-to-be-inspected and using the ‘DenseFeatures’ and converting it into a Numpy array.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

The titanic dataset can be inspected using Tensorflow and estimators, by iterating through the features and converting the features into a list, and displaying it on the console. Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is ... Read More