Offered By: IBMSkillsNetwork
Lazy Predict All Models in One Go
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.
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Data Science
110 EnrolledAt 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
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
- Understand what AutoML is
- Apply "LazyPredict" to classification and regression problems
- Evaluate models' performance from "LazyPredict"
What You'll Need
Estimated Effort
30 minutes
Level
Beginner
Industries
Banking, Retail
Skills You Will Learn
Python, Data Science, Machine Learning, AutoML
Language
English
Instructors
Joseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreCindy Huang
Data Science Intern at IBM
Hey there! I'm a senior at the University of Toronto studying data science. My passion for machine learning lies in NLP and using technology to improve human experience.
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