Five reasons feature engineering is key to maximizing data science impact

A framework for evaluating data products and building high-impact teams

All organizations have data and need to curate that data into actionable features. In this essay, we’ll review what we mean by features and why they are integral to good business and effective data products. Then, we’ll discuss why data scientists are best suited to develop those features, how the lens of feature engineering can quantify the value of your data science projects, …

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