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Fundamentals of Data Mining

Data Science 101

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

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How Do Super Rookies Start Learning Data Analysis?

FineReport

For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. One is how to gain insights from the data. Data is cold and can’t speak. From Google. There are two points here.

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Business Intelligence System: Definition, Application & Practice

FineReport

Business intelligence (BI) leverages data analysis to form actionable insights that inform an organization’s strategic and tactical business decisions. Data Mining. In practical applications, data mining is also used to mine the past and predict the future. It is an active method of automatic discovery.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. Data mining for direct marketing: Problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. 30(2–3), 195–215. link] Ling, C. X., & Li, C.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN. Conference on Knowledge Discovery and Data Mining, pp.

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