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Lauren
Lauren

Lauren

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From Data Science for Startups: Exploratory Data Analysis by Ben Weber

…lotting features, correlation analysis, and weighting feature importance for a simple linear model. The goal of performing this type of work is to be able to better understand user behavior, determine how to improve a product, and investigate if the data provides useful signals for building data products.

From Data Science for Startups: Exploratory Data Analysis by Ben Weber

This post presents four types of exploratory analyses, including computing summary statistics, plotting features, correlation analysis, and weighting feature importance for a simple linear model. The goal of performing this type of work is to be able to better understand user behavior, determi…

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