xoraus/BigMart-SalesPrediction-xgboost
According to the information provided, Bigmart is a big supermarket chain, with stores all around the country and its current board set out a challenge to all Data Scientist out there to help them create a model that can predict the sales, per product, for each store. BigMart has collected sales data from the year 2013, for 1559 products across 10 stores in different cities. With this information the corporation hopes we can identify the products and stores which play a key role in their sales and use that information to take the correct measures to ensure success of their business
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 22, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/xoraus/BigMart-SalesPrediction-xgboost"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
wzhe06/Ad-papers
Papers on Computational Advertising
seanZhang414/openadserver
Open Source Ad Serving Platform with ML-Powered CTR Prediction | Self-hosted alternative to...
abhinav-bhardwaj/Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
juancaalcaraz/automatizacion-de-reportes-de-ventas
Sistema para generar reportes (en Excel y PDF) automáticamente y crear predicciones del total de...
karthickai/Linear-Regression
Machine Learning - Linear Regression_Ecommerce_Prediction