How do I implement unsupervised learning in my project?
To implement unsupervised learning, start by defining your problem and selecting the right algorithm, like K-means or DBSCAN.
What kind of data do I need for unsupervised learning?
You need a dataset without labeled outputs. It can be numerical, categorical, or a mix, depending on your algorithm.
Can you give me an example of an unsupervised learning algorithm?
Sure! K-means clustering is a popular unsupervised learning algorithm used to group similar data points together.
How do I evaluate the results of unsupervised learning?
You can use metrics like silhouette score or Davies-Bouldin index to evaluate the quality of your clusters.
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