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Online shopping intention analysis with Machine Learning

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Online shopping intention analysis

From a dataset that consists of statistical characteristics of about 12,000 sessions on online sales websites, I carried out an analysis of the purchase intention that a person could have in a virtual way and how we could predict the behavior of users. This dataset was created and hosted in the UCI Machine Learning Repository. With this project I seek to apply Machine Learning algorithms to perform data analysis and predict behaviors according to the analysis.

Features

  • Data analysis for decision making
  • Use of K-Elbow method to determine clusters
  • Clustering by K-Means

Made by @yepedraza

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Online shopping intention analysis with Machine Learning

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