Topic: sales-forecasting Goto Github
Some thing interesting about sales-forecasting
Some thing interesting about sales-forecasting
sales-forecasting,Time Series Decomposition techniques and random forest algorithm on sales data
User: 30lm32
sales-forecasting,A project part of ACI AI/BI Team
User: aaneloy
sales-forecasting,Understanding how well a product that is published on the E-Commerce platform Wish is going to sell using Machine Learning.
User: abhijitpai000
sales-forecasting,Time series forecasting of sales
User: ackw
sales-forecasting,Machine learning algorithms applied on the Online retail dataset provided by UCI Machine learning π€
User: ahmed-ashraf-marzouk
sales-forecasting,Sales forecasting models for BigMart.
User: ajnavneet
sales-forecasting,Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
User: akshitvjain
sales-forecasting,List of papers, code and experiments using deep learning for time series forecasting
User: alro10
sales-forecasting,Sales Data Analysis and Forecasting Using Ensemble Methods
User: amirragab-ds
sales-forecasting,Sales forecasting by using time series model. A recruitment task for Analyst role.
User: aniass
sales-forecasting,DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS
User: ashishpatel26
Home Page: https://data.mendeley.com/datasets/8gx2fvg2k6/5
sales-forecasting,Retail Sales Forecasting and Monitoring project offers real-time analysis and forecasts for retail sales.
User: ashrafalaghbari
Home Page: https://retailsensei.ashrafalaghbari.tech
sales-forecasting,Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
User: atharvapathak
sales-forecasting,Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving business success explain this in a professional way that I did this in my project
User: azamprof70
sales-forecasting,MSc thesis about sales forecasting in high-dimensional contexts taking into account product relationships and promotions
User: blaieet
sales-forecasting,Sales forecasting system prototype w/ dashboard using SARIMAX model
User: circhastic
Home Page: https://huggingface.co/spaces/Circhastic/sales-forecasting
sales-forecasting,Machine learning sales forecast model for Rossmann stores.
User: eliasbatistasouza
Home Page: https://t.me/SalesPredRossmannBot
sales-forecasting,forecasts store sales using the prophet algorithm
User: frizchar
sales-forecasting,Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
Organization: grimmlab
sales-forecasting,Time Series Forecasting
User: iamzehan
sales-forecasting,Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more
User: jomariya23156
sales-forecasting,Build a forecasting model to predict the sale of a store.
User: kshitij-raj
sales-forecasting,How much camping gear will individual Walmart stores sell each month in a year? To the uninitiated, calculating sales at this level may seem as difficult as predicting the weather. Both types of forecasting rely on science and historical data. While a wrong weather forecast may result in carrying around an umbrella on a sunny day, inaccurate business forecasts could result in actual or opportunity losses. In this competition, in addition to traditional financial forecasting methods, we challenged to use machine learning to improve forecast accuracy.
User: langejustin
sales-forecasting,δ½Ώη¨LSTMι’ζ΅εειιοΌθθιιζΏε’ηΉε½±ε
User: lintianqianjin
sales-forecasting,This repository serves as a showcase of the skills I've acquired through Datacamp's "Data Analysis in Excel" course.
User: mabrar92
sales-forecasting,SuperStore Sales analysis in Power BI with forecasting of upcoming 15 days sales
User: manishankarjha
sales-forecasting,Perform a market size analysis of the electric vehicle industry using Python to understand sales volume, demand, and growth opportunities, providing strategic recommendations for businesses.
User: manu-abuya
sales-forecasting,Users business cases in python
User: manugaco
sales-forecasting,CM3070 Final Project Repository
User: matthiasf1
sales-forecasting,Super Store Sales Dashboard
User: mithilesh-yadav-coding
sales-forecasting, Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.
User: monicadara
sales-forecasting,Sales forecasting with random forest, decision tree. Promotion effect calculation.
User: mztrk
sales-forecasting,Example of Sales Forecasting
User: npicado
sales-forecasting,Exploring the efficacy of statistical and econometric methodologies for sales forecasting, this repository provides a comprehensive analysis alongside code implementations, offering empirical insights to guide decision-making in the retail industry.
User: oleksandrkosovan
Home Page: https://doi.org/10.1007/978-3-031-54820-8_27
sales-forecasting,This project aims to forecast the weekly sales of Walmart stores across the USA.
User: pradnya1208
sales-forecasting,Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.
User: praveendinesha
sales-forecasting,Time series forecasting using Prophet and PySpark for parallelized model training.
User: purrvaja
sales-forecasting,A Supervised Machine Learning project in which I forecast upcoming six weeks of sales in advance using different ML Model For Rossmann Stores
User: pyhtonman0101
sales-forecasting,Predicting the sales of a particular product in the year 2019 provided the sales of the same item from the year 2014-18. Improvements required(need some suggestions)
User: rajshree27
sales-forecasting,A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.
User: rajtulluri
sales-forecasting,This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retailer. The goal is to build a model that accurately predicts the unit sales for thousands of items sold at different Favorita stores.
User: rasmodev
sales-forecasting,Machine Learning for Retail Sales Forecasting β Features Engineering
User: samirsaci
sales-forecasting,Consumer Buying pattern Analysis and Sales Forecasting using Artificial Intelligence.
User: terminalwitchcraft
sales-forecasting,Exponential Smoothing, SARIMA, Facebook Prophet
User: thuynh323
sales-forecasting,This dashboard forecasts sales for the next 12 months with 95% confidence level. It also looks at the region where most sales is achieved, cities with the most sales and the top 5 customers in 2017.
User: timothygbenga
sales-forecasting,Enhancing Walmart's Operational Efficiency: Achieving Accurate Weekly Sales Predictions with Advanced Regression Modeling
User: toluwaa-o
sales-forecasting,This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.
User: tushar2704
Home Page: https://tushar-aggarwal.com
sales-forecasting,An example of multi-variate time-series prediction
User: ximihoque
sales-forecasting,Hey there! π This is my little machine learning playground on GitHub. You'll find Kaggle projects here, solving all kinds of fun problems - predicting sales, figuring out good wine, you name it. All using a cocktail of ML models. Explore, learn, or just enjoy the data-driven ride. Happy coding! π
User: yahyasoker
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