About this video

A simple walkthrough of a Machine Learning exercise, creating, evaluating, and deploying a Machine Learning model without writing a single line of code.

You will set up a free Watson Studio account, a web based IDE for Machine Learning, Data Science, and Deep Learning.

You will import and transform a public dataset.

You will build 4 machine learning prediction models, and evaluate for the best accuracy.

You will deploy the model with best accuracy as a web service fronted with an API to make predictions.

You will call the prediction model web service to make predictions.

1. Introducing Watson Studio

2. Create a Watson Studio Account

3. Transform Data with DataRefinery

4. Train and Evaluate a machine learning model

5. Deploy ad call the ML model as a web service