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Inspiration:

• K-Means Clustering & PCA
• 🎖Product Recommendation - Apriori & causal ML

Context

The dataset consists of over 2 million purchase records at a renowned Hunter's supermarket :)

Content

Supermarket consumer behaviour dataset consists of 2019501 Rows & 12 Columns :

• order_id – (A unique number to identity the order)
• user_id - (A unique number to identify the user)
• order_number – (Number of the order)
• order_dow – (Day of the Week the order was made)
• order_hour_of_day – (Time of the order)
• days_since_prior_order - (History of the order)
• product_id – (Id of the product)
• add_to_cart_order – (Number of items added to cart)
• reordered – (If the reorder took place)
• department_id - (Unique number allocated to each department)
• department – (Names of the departments)
• product_name – (Name of the products)