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README.md
Vicky Malhotra
MIT, Boston
Data Set Information:
Your client is a meal delivery company which operates in multiple cities. They have various fulfillment centers in these cities for dispatching meal orders to their customers. The client wants you to help these centers with demand forecasting for upcoming weeks so that these centers will plan the stock of raw materials accordingly.
The replenishment of majority of raw materials is done on weekly basis and since the raw material is perishable, the procurement planning is of utmost importance. Secondly, staffing of the centers is also one area wherein accurate demand forecasts are really helpful. Given the following information, the task is to predict the demand for the next 10 weeks (Weeks: 146-155) for the center-meal combinations in the test set:
Historical data of demand for a product-center combination (Weeks: 1 to 145)
Product(Meal) features such as category, sub-category, current price and discount
Information for fulfillment center like center area, city information etc.
Attribute Information:
Weekly Demand data (train.csv): Contains the historical demand data for all centers, test.csv contains all the following features except the target variable
Variable Definition
id Unique ID
week Week No
center_id Unique ID for fulfillment center
meal_id Unique ID for Meal
checkout_price Final price including discount, taxes & delivery charges
base_price Base price of the meal
emailer_for_promotion Emailer sent for promotion of meal
homepage_featured Meal featured at homepage
num_orders (Target) Orders Count
fulfilment_center_info.csv: Contains information for each fulfilment center
Variable Definition
center_id Unique ID for fulfillment center
city_code Unique code for city
region_code Unique code for region
center_type Anonymized center type
op_area Area of operation (in km^2)
meal_info.csv: Contains information for each meal being served
Variable Definition
meal_id Unique ID for the meal
category Type of meal (beverages/snacks/soupsa€|.)
cuisine Meal cuisine (Indian/Italian/a€|)
Relevant Papers:
N/A
Citation Request:
Please refer to the Machine Learning Repository's citation policy
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