Machine Learning Introduction
Data Science
| Beginner
- 8 Videos | 39m 29s
- Includes Assessment
- Earns a Badge
Machine learning is a particular area of data science that uses techniques to create models from data without being explicitly programmed. Explore the conceptual elements of various machine learning techniques.
WHAT YOU WILL LEARN
-
identify problems in which supervised learning techniques apply
identify problems in which unsupervised learning techniques apply
apply linear regression to machine learning problems
identify predictors in machine learning -
apply logistic regression to machine learning problems
describe the use of dummy variables
use naive bayes classification techniques
work with decision trees
IN THIS COURSE
-
1.Introduction to Supervised Learning5m 37sUP NEXT
-
2.Introduction to Unsupervised Learning4m 49s
-
3.Understanding Linear Regression5m 22s
-
4.Working with Predictors6m 18s
-
5.Understanding Logistic Regression4m 19s
-
6.Understanding Dummy Variables3m 45s
-
7.Using Naive Bayes Classification5m 24s
-
8.Working with Decision Trees3m 55s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
