Machine Learning Basics (Open)

This course is designed for anyone who wants to get started with visual machine learning in Dataiku DSS. (Open versions of courses do not count towards the certificate program.)

Machine Learning Basics (Open)

Curriculum

About this course

About this course

To track your progress and work towards completion of the certificate program, you should register for this course through the Learning Paths.  Any progress in this course will not count towards a certificate.

 

Machine Learning Basics
 

The Machine Learning Course is designed to provide a first hands-on overview of basic Dataiku DSS machine learning concepts so that you can easily create and evaluate your first models in DSS. Completion of this course will enable you to move on to more advanced courses.

In this course, we'll work with two use cases. To illustrate concepts, we'll use a Hospital Readmission project to predict whether or not a patient is likely to be readmitted to the hospital.

Then, in the hands-on lessons, we will continue with the Haiku T-Shirts project we created in Basics 101-103, and use the historical data about customers to predict whether or not a new customer will become a high revenue customer.

Before each hands-on section, you will have a chance to grasp each new concept by watching short videos. In the concept videos, we’ll explore a model that predicts whether a patient will be readmitted to a hospital, based on features such as demographics.

Learning Objectives

At the end of this course, you will be able to:

1 - Prepare a dataset for machine learning

2 - Create models using visual machine learning

3 - Evaluate and tune your models

4 - Incorporate fundamentals of Explainable AI

 

Course Properties

Course Title Machine Learning Basics

Target Audience

Anyone who uses or wants to learn how to get started with visual machine learning in Dataiku DSS

Access Level

Free / included with registration

Estimated Time for Completion

97 Minutes

Completion Criteria

Pass all the waypoint quizzes with a 65% score and the course checkpoint with an 80% score

Supplemental Materials (Y/N)

Dataset - Haiku T-Shirts Order Log

Dataset - Haiku T-Shirts Customers

Knowledge Prerequisite(s)

NONE

Technical Prerequisite(s)

Dataiku DSS - Latest version (FREE EDITION is enough)