Machine Learning and Home Price Prediction on IBM DB2 with Python

This webinar demonstrates a data scientist’s journey in creating a machine learning model using IBM Watson Studio and IBM Db2 On Cloud. In this event, we use the Jupyter notebook in IBM Watson Studio to connect to the Db2 database and uses a machine-learning algorithm to create a model that is deployed to the IBM Watson Machine Learning service. With this deployed model, we can use for exposing an API and give input data to the API to predict home values.

 End of this event, you’ll understand how to:

 - Create a project in Watson Studio and use Jupyter Notebooks in the project

- Create machine learning models using Python libraries

- Deploy the machine learning model to IBM Watson Machine Learning service on Cloud

- Use Angular UI to send data to IBM Watson Machine Learning API to predict home value

Event Link: Meetup

Do not forget to register to the event with your e-mail address via Meetup. We will forward the webex link to your e-mail addresses.

 Event Date: Wednesday 22 July / 14:00

Speakers: Adem Aldemir, Betül Tekne / IBM Z Software Engineer