At a Glance

Automated Machine Learning (AutoML) is a field of machine learning that automates many monotonous tasks of Machine learning. You can go from zero to hero with some basic Machine Learning knowledge and Python programming skills. In this project, you will explore "LazyPredict," a semi-automated ML library used to build many popular models using two simple lines of code; you will apply your knowledge to predict flight delays and admissions probability.

Why you should do this Guided Project

As machine learning becomes more prominent in various fields - ranging from healthcare to retail - being able to utilize it is a valuable asset. Conveniently, a new subfield of machine learning has emerged: automated machine learning. Designed for non-experts, it automatically runs a variety of models under a certain category and compares their performance. Go from zero to hero!

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In this guided project, you will learn to use "LazyPredict", a semi-automated ML library for machine learning tasks. Specifically, you will use it to predict for two real-life scenarios: 1) whether a flight will be delayed and 2) the chances of admissions to university.

A Look at the Project Ahead

After completing this lab, you will be able to:

Understand what AutoML is
Apply "LazyPredict" to classification and regression problems
Evaluate models' performance from "LazyPredict"

What You'll Need

This project uses JupyterLab. Although general knowledge about data wrangling is recommended to take advantage of automated ML, this project is designed for beginners with no prior experience in coding machine learning models. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.

Offered By: IBMSkillsNetwork

Lazy Predict All Models in One Go

At a Glance

Why you should do this Guided Project

A Look at the Project Ahead

What You'll Need