Auto AI : Build an application to predict insurance charges

This is a follow up workshop to the “Build and deploy custom AI predictive models” session held on May 7th.

For this workshop we will be using AutoAI, a graphical tool that analyses your dataset and discovers data transformations,
algorithms, and parameter settings that work best for your problem setting.

We will then use a Flask web-application to connect to the deployed model.

In this workshop you will understand how to :

* Setup quickly, the services on IBM Cloud for building the model.
* Ingest the data and initiate the AutoAI process.
* Build different models using AutoAI and evaluate the performance.
* Choose the best model and complete the deployment.
* Generate predictions using the deployed model
* Compare the process of using AutoAI and building the model manually.
* Visualise the deployed model using a front-end application.

Prerequisites:

- Python 3.8.2
- Please Signup to an IBM Cloud before the workshop if possible using the below link
https://ibm.biz/auto-ai-predict