Unsupervised Learning
Machine Learning
12 Videos | 31m 15s - Includes Assessment
- Earns a Badge
Unsupervised learning can provide powerful insights on data without the need to annotate examples. Explore unsupervised learning, clustering, anomaly detection, and dimensional reduction.
WHAT YOU WILL LEARN
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describe unsupervised learning and some of the problems it can solve
describe rule association and how the Apriori algorithm performs tasks
use the Apriori algorithm for rule association in Python
describe clustering and the types of problems it applies to
describe the k-means clustering algorithm
use scikit-learn to build clusters in Python -
describe anomaly detection, the types of problems solved with anomaly detection, and some approaches to anomaly detection
use scikit-learn to perform anomaly detection
describe the problems with dimensionality and why efforts to reduce dimensionality should be taken
describe principal component analysis for dimensionality reduction
use scikit-learn to perform dimensionality reduction
perform dimensionality reduction and clustering tasks in Python
IN THIS COURSE
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1.What Is Unsupervised Learning?2m 22sUP NEXT
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2.Rule Association1m 44s
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3.A Priori in Python3m 22s
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4.Clustering1m 39s
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5.K-means Clustering1m 48s
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6.Clustering in Python1m 38s
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7.Anomaly Detection2m 20s
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8.Anomaly Detection in Python2m 5s
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9.Dimensionality Reduction2m 1s
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10.Principal Component Analysis1m 36s
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11.Dimensionality Reduction in Python3m 6s
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12.Exercise: Unsupervised Learning in Python2m 5s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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