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InstaCartMarketBasketAnalysis

Big Data Project

Survey & Related Approaches

Instacart Market Basket Analysis (Kaggle Competition) https://rpubs.com/Guy_Larange/283625 https://github.com/swapnil2129/Kaggle-Competition-Instacart-EDA-MBA

Some Features to be added or exploited

Copied from this blog post, All credits to the blog author.

link http://blog.kaggle.com/2017/09/21/instacart-market-basket-analysis-winners-interview-2nd-place-kazuki-onodera/

Feature Engineering

User features - what is this user like? Item features - what is this item like? User x item features - how does this user feel about this item? Datetime features - what is this day and hour like? Here are some of the ideas behind the features I created.

User features

How often the user reordered items Time between orders Time of day the user visits Whether the user ordered organic, gluten-free, or Asian items in the past Features based on order sizes How many of the user’s orders contained no previously purchased items

Item features

How often the item is purchased Position in the cart How many users buy it as "one shot" item Stats on the number of items that co-occur with this item Stats on the order streak Probability of being reordered within N orders Distribution of the day of week it is ordered Probability it is reordered after the first order Statistics around the time between orders

User x Item features

Number of orders in which the user purchases the item Days since the user last purchased the item Streak (number of orders in a row the user has purchased the item) Position in the cart Whether the user already ordered the item today Co-occurrence statistics Replacement items

Datetime features

Counts by day of week Counts by hour

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