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Fundamentals of Data Mining

Data Science 101

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). The patterns discovered after this step are interpreted using various visualization and reporting techniques and are made comprehensible for other team members to understand. Deployment.

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Density-Based Clustering

Domino Data Lab

Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. Now, let’s visualize the normalized dataset: As you can see, there is positive correlation between grocery purchases and milk product purchases. astype("float32", copy = False).

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