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Must-Have Skills for a Machine Learning Engineer

Pickl AI

Decision Trees These trees split data into branches based on feature values, providing clear decision rules. Key techniques in unsupervised learning include: Clustering (K-means) K-means is a clustering algorithm that groups data points into clusters based on their similarities.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. What are the advantages and disadvantages of decision trees ? I regularly participate in online courses, webinars, and conferences related to data analytics.