Dec 10, 2025 路 3 min read 路 馃攳 Introduction Creating new features is one of the most impactful steps in feature engineering. While algorithms learn patterns, features tell the model what patterns to look for. By transforming raw data into meaningful representations, we help mac...
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Oct 11, 2024 路 6 min read 路 Data science projects have become part of almost every industry, be it in healthcare, finance, or even retail. It assists in the design, driving of decision-making, and innovations using data science projects. However, despite the great promise prese...
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Apr 22, 2024 路 3 min read 路 I. Introduction Building domain knowledge is crucial in data analysis as it allows analysts to better understand the context in which data is collected and analyzed. By gaining insight into the specific industry or field being studied, data analysts ...
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Oct 1, 2020 路 5 min read 路 While I worked in the data science department of a large insurance carrier, the VP of Data Science once said to me, "Everyone has the same math." The intent of this statement was to highlight that everyone gets distracted by sexy data science models....
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Mar 1, 2019 路 3 min read 路 I just wanted to write down some quick thoughts about the value domain knowledge and feature engineering. My recent work involved using several very large data sources. One data source stored "failure to deliver" and "package not received" data from ...
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