Machine Learning in Python Bootcamp: Session 1 Replay
- 2 Videos | 2h 7m 30s
- Earns a Badge
This is a recorded Replay of the Machine Learning in Python Live session that ran on November 2nd at 11 AM ET. In this sessionLucas Kelly discusses the characteristics of supervised and unsupervised machine learning, clustering and its applications, and using k-means for clustering.
WHAT YOU WILL LEARN
Discuss clustering and its applicationsIdentify the characteristics of supervised and unsupervised machine learning
Use k-means for clustering
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