Category: 4. H2O

In this lesson, you will learn to use a pre-trained model to detect objects in a given image. You will use squeezenet pre-trained module that detects and classifies the objects in a given image with a great accuracy. Open a new Juypter notebook and follow the steps to develop this image classification application. Importing Libraries First, we import the…

To use AutoML, start a new Jupyter notebook and follow the steps shown below. Importing AutoML First import H2O and AutoML package into the project using the following two statements −import h2o from h2o.automl import H2OAutoML Initialize H2O Initialize h2o using the following statement −h2o.init() You should see the cluster information on the screen as…

Click on the Airlines Delay Flow link in the list of samples as shown in the screenshot below − After you confirm, the new notebook would be loaded. Clearing All Outputs Before we explain the code statements in the notebook, let us clear all the outputs and then run the notebook gradually. To clear all…

In the last lesson, you learned to create H2O based ML models using command line interface. H2O Flow fulfils the same purpose, but with a web-based interface. In the following lessons, I will show you how to start H2O Flow and to run a sample application. Starting H2O Flow The H2O installation that you downloaded…

H2O can be configured and used with five different options as listed below −H2O – InstallationH2O can be configured and used with five different options as listed below − In our subsequent sections, you will see the instructions for installation of H2O based on the options available. You are likely to use one of the…

Have you ever been asked to develop a Machine Learning model on a huge database? Typically, the customer will provide you the database and ask you to make certain predictions such as who will be the potential buyers; if there can be an early detection of fraudulent cases, etc. To answer these questions, your task…

H2O is an open source Machine Learning framework with full-tested implementations of several widely-accepted ML algorithms. You just have to pick up the algorithm from its huge repository and apply it to your dataset. It contains the most widely used statistical and ML algorithms. H2O provides an easy-to-use open source platform for applying different ML…