Skip to content
learning path

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 7 hours and 42 minutes
Students: 811
Rating: 4.4/5
Start
Enhance your skill setDevelop essential skills for thriving in real-world scenarios.
Stay focused, stay committedBoost your learning journey by enrolling: stay focused, consistent and achieve your goals with ease.
Earn a certificate of completionShow your skills and build your credibility when you include them in your resume and LinkedIn profile.
Content overview
About
Author

Content overview

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
Difficulty: Intermediate. Duration: 55m 12s.
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.
Difficulty: Intermediate. Duration: 31m 25s.
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.
Difficulty: Beginner. Duration: Up to 1h 30m.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour and 30 minutes
Machine Learning - Training Custom Models
This lab is aimed at machine learning beginners who want to understand how to train custom models.
Difficulty: Intermediate. Duration: Up to 1h.
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.
Difficulty: Intermediate. Duration: Up to 1h 15m.
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.
Difficulty: Intermediate. Duration: Up to 1h.
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.
Difficulty: Beginner. Duration: Up to 1h.
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.
See all