Topic: forecasting-sales Goto Github
Some thing interesting about forecasting-sales
Some thing interesting about forecasting-sales
forecasting-sales,This repository contains an ML project that was approached with a business mindset from the beginning to the end. It addresses the problem of forecasting.
User: marinamoreno
forecasting-sales,Our project scope is to apply machine learning techniques to a real-world problem of predicting store sales. Germany’s largest store chain, has provided past sales information of 1115 stores located across Germany. We pre-processed, feature engineered the data, and examined 2 different machine learning algorithm for forecasting sales of store: Random Forest regression, and XGBoost. Then, we compared the method’s predictive power by computing Root Mean Square Percentage Error (RMSPE). We found that XGBoost model performed the best with a RMSPE score of 0.11 validation data set. Deployment has been done with Flask Web-App.
User: mlp9
Home Page: https://sales-prediction1.herokuapp.com/
forecasting-sales,Time Series Forecasting Models: ETS, ARIMA
User: sooyeonwon
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.