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Unsupervised Machine Learning with Python Free Course with Certificate – Apply Now!
This course includes Unsupervised Machine Learning, Clustering and Dimension Reduction Algorithms with Python Implementation and Applications.
About Course:
As the name suggests, unsupervised learning is a machine learning technique in which models are not supervised using a training dataset. Unsupervised learning is a type of machine learning in which the algorithm is not provided with any pre-assigned labels or scores for the training data. As a result, unsupervised learning algorithms must first self-discover any naturally occurring patterns in that training data set.
Requirements:
- python
- scikit-learn
- pandas
Description:
- Clustering Algorithms: Hierarchical Clustering and K Means Clustering.
- Implementation of clustering algorithms to perform customer behaviour analysis.
- Applications of clustering using real world data.
