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
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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
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1.Introduction to Supervised Learning5m 37sUP NEXT
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2.Introduction to Unsupervised Learning4m 49s
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3.Understanding Linear Regression5m 22s
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4.Working with Predictors6m 18s
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5.Understanding Logistic Regression4m 19s
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6.Understanding Dummy Variables3m 45s
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7.Using Naive Bayes Classification5m 24s
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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
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CHANNEL
Wintellect Machine Learning
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