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Yihong Chen committed Aug 16, 2017
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Expand Up @@ -10,7 +10,7 @@ This repository contains my solution for the Instacart Market Analysis Competiti

The problem is formulated as approximating P(u,p | user's prior purchase history) which stands for how much likely user u would repurchase product p given prior purchase history.

The main model should be a binary classifer and features created manually or automatically are feed to the classfier for generating predictions.
The main model should be a binary classifer and features created manually or automatically are fed to the classfier for generating predictions.

### Features
I construted both manual features and automatic features using unsupervised learning and neural networks.
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