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)
☆34Jun 26, 2020Updated 6 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
- Forecasting Monthly Sales of French Champagne - Perrin Freres☆26Jun 23, 2019Updated 7 years ago
- Using Time Series forecasting and analysis to predict Walmart Sales across 45 stores.☆20Feb 10, 2019Updated 7 years ago
- Successfully collected, cleaned and analysed the time series data and used ARIMA model to forecast average temperature using and visualiz…☆33Aug 9, 2018Updated 8 years ago
- This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management☆15Sep 21, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆42Sep 16, 2019Updated 7 years ago
- ☆25Aug 18, 2016Updated 10 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 10 years ago
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆34Feb 6, 2018Updated 8 years ago
- This project includes recipe and recommendation of indian famous cuisine using machine learning and flask web app☆20Jul 6, 2021Updated 5 years ago
- Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management dur…☆11Apr 15, 2020Updated 6 years ago
- MyDiary is an online journal where users can pen down their thoughts and feelings☆10Apr 24, 2019Updated 7 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 7 years ago
- Build a machine learning model to predict weekly sales with 97.4% accuracy. Integrated Exploratory Data Analysis tools to analyze trends,…☆22May 9, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- autoscraper☆20Apr 27, 2021Updated 5 years ago
- A Cryptosynth Aeon (created by God Bennett/Cryptosynth Labs) is an artificial intelligence powered, artistically realistic 3d being, that…☆11Mar 26, 2025Updated last year
- Looking for factors indicating fraud using insurance claims data.☆12Feb 21, 2019Updated 7 years ago
- The GitHub repository for the paper "Denoising Application of Magnetotelluric Low-Frequency Signal Processing"☆11Feb 22, 2023Updated 3 years ago
- cat dog neural network implemented into website using flask☆22Nov 21, 2022Updated 3 years ago
- ☆12Dec 14, 2021Updated 4 years ago
- Notebooks for time-series forecasting (SARIMA)☆10Apr 22, 2019Updated 7 years ago
- top3-solution☆10Feb 28, 2020Updated 6 years ago
- ☆12Apr 17, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data☆40Feb 9, 2021Updated 5 years ago
- D-vine quantile regression☆11Aug 31, 2026Updated 2 months ago
- Predicting the Sales using Time-series forecasting for month-wise data.☆24Apr 28, 2021Updated 5 years ago
- Multivariate Time series Analysis Using LSTM & ARIMA☆36Sep 20, 2019Updated 7 years ago
- Supplementary xts functionality, and development platform for GSoC projects☆14Feb 9, 2015Updated 11 years ago
- Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dime…☆20Jul 24, 2017Updated 9 years ago
- The basis of this project involves analyzing Amgen future profitability based on its current business environment and financial performan…☆12Jul 26, 2019Updated 7 years ago
- This contains our project for the course Data Mining, titled Stock Market Predictor. The project applies various Models (such as ARIMA, S…☆12Apr 21, 2020Updated 6 years ago
- GA,PSO,LSTM...☆25May 11, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A simple template to bootstrap a Substrate node with BABE consensus☆11Jun 11, 2021Updated 5 years ago
- Forecast of World's CO2 Emissions using ARIMA and LSTM Models☆10Nov 7, 2022Updated 3 years ago
- Demand Forecasting is the process in which historical sales data is used to develop an estimate of an expected forecast of customer deman…☆12Jul 13, 2020Updated 6 years ago
- 尝试对比ARIMA、LSTM、SARIMA、GRA_LSTM、SARIMA_LSTM串联模型和SARIMA_LSTM并联模型的时序预测能力。☆13Mar 24, 2023Updated 3 years ago
- ☆11Jul 20, 2015Updated 11 years ago
- Exponential Smoothing, SARIMA, Facebook Prophet☆12Jan 3, 2021Updated 5 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Jul 31, 2018Updated 8 years ago