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Getting Started with Machine Learning Models

Learn the basics of machine learning models and how to use models to extract results.
Difficulty: Intermediate
Duration: Up to 9 hours and 12 minutes
Students: 717
Rating: 4.4/5
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8 steps
There are 2 Courses in this learning path
There are 5 Hands-on Labs in this learning path
There is 1 Exam in this learning path
COURSE
Intermediate
Duration: 55 minutes and 12 seconds
Common Machine Learning Models & How to Train Them
This lesson explores the core concepts of machine learning, the models available, and how to train them.
COURSE
Intermediate
Duration: 31 minutes and 25 seconds
Introduction to SageMaker
This lesson provides a practical understanding of the steps required to build and deploy machine learning models using Amazon SageMaker.
HANDS-ON LAB
Beginner
Duration: Up to 3 hours
Machine Learning - Training Custom Models
This lab is aimed at machine learning beginners who want to understand how to train custom models.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour
Performing K-Means Clustering With Python
In this lab, you'll learn how to perform K-Means Clustering on a set of data and plot the outcome.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 15 minutes
Capturing New Knowledge from Your Data
In this lab, you'll learn how to utilize SQL aggregate functions and utilize complex functions, and learn how to get complex insights from your data.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour
Dealing With Schema Changes in a Data Service
This lab will walk you through the changing database schema requirements of a bug tracking application and how to handle them.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour
Working With Complex Rest APIs
This lab will dive into understanding GET, POST, DELETE, and PATCH HTTP verbs and will teach you to use Python to interact with an REST API.
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