Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and current methods such as Prophet, Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN)
☆33Jun 26, 2020Updated 5 years ago
Alternatives and similar repositories for retail_store_sales_forecasting
Users that are interested in retail_store_sales_forecasting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Dec 27, 2019Updated 6 years ago
- This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management☆15May 20, 2019Updated 6 years ago
- Forecasting Monthly Sales of French Champagne - Perrin Freres☆26Jun 23, 2019Updated 6 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆40Sep 16, 2019Updated 6 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆22Jul 25, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆34Feb 6, 2018Updated 8 years ago
- Build a machine learning model to predict weekly sales with 97.4% accuracy. Integrated Exploratory Data Analysis tools to analyze trends,…☆15May 9, 2024Updated last year
- ☆16Dec 12, 2021Updated 4 years ago
- This is a Inventory Management System created using R and Shiny package that forecasts next month sales demand and also calculates safety…☆21May 8, 2016Updated 9 years ago
- This project includes recipe and recommendation of indian famous cuisine using machine learning and flask web app☆21Jul 6, 2021Updated 4 years ago
- This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…☆17May 1, 2019Updated 6 years ago
- The GitHub repository for the paper "Denoising Application of Magnetotelluric Low-Frequency Signal Processing"☆11Feb 22, 2023Updated 3 years ago
- autoscraper☆20Apr 27, 2021Updated 4 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆115Apr 24, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- bitcoin prediction algorithms☆24Sep 15, 2018Updated 7 years ago
- In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…☆29Dec 4, 2019Updated 6 years ago
- Predicting the Sales using Time-series forecasting for month-wise data.☆24Apr 28, 2021Updated 4 years ago
- Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management dur…☆11Apr 15, 2020Updated 5 years ago
- Notebooks for time-series forecasting (SARIMA)