sales-forecasting
There are 16 repositories under sales-forecasting topic.
Alro10 / deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
time-series-forecastinglstm-neural-networkslstmdeep-learningforecasting-modelspredictionpython3pytorchtensorflowseries-forecastingseries-classificationtime-seriestime-series-predictiontime-series-classificationforecasting-competitionsdemand-forecastingrecurrent-neural-networksseries-analysissales-forecastingdeep-neural-networksLanguage:Jupyter Notebook 2730jomariya23156 / sales-forecast-mlops-at-scale
Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more
Language:Jupyter Notebook 62samirsaci / ml-forecast-features-eng
Machine Learning for Retail Sales Forecasting — Features Engineering
Language:Jupyter Notebook 6030lm32 / ml-time-series-analysis-on-sales-data
Time Series Decomposition techniques and random forest algorithm on sales data
Language:Jupyter Notebook 58akshitvjain / product-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
Language:Jupyter Notebook 57Lintianqianjin / Sales-forecast-LSTM
使用LSTM预测商品销量，考虑销量激增点影响
Language:Python 34rajtulluri / Olist-business-analysis
A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.
Language:Jupyter Notebook 17TerminalWitchcraft / Xaon
Consumer Buying pattern Analysis and Sales Forecasting using Artificial Intelligence.
Language:Python 16grimmlab / HorticulturalSalesPredictions
Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
Language:Python 12thuynh323 / Time-series-forecasting
Exponential Smoothing, SARIMA, Facebook Prophet
Language:Jupyter Notebook 12MonicaDara / Sales-Analysis-Dashboard-PowerBI
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.
rasmodev / Time-Series-Forecasting---ML-Regression-Project
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.
Language:Jupyter Notebook 10tushar2704 / Store-Demand-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.
Language:Jupyter Notebook 9Praveendinesha / Sales-Insights-Analysis_E-Commerce
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.
Ahmed-Ashraf-Marzouk / Elzoboon-CRM
Machine learning algorithms applied on the Online retail dataset provided by UCI Machine learning 🤖
Language:Jupyter Notebook 4ashishpatel26 / DataCo-SMART-SUPPLY-CHAIN-FOR-BIG-DATA-ANALYSIS
DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS
ashrafalaghbari / RetailSensei
Retail Sales Forecasting and Monitoring project offers real-time analysis and forecasts for retail sales.
Language:Jupyter Notebook 4npicado / sales-forecasting
Example of Sales Forecasting
Language:PHP 4Circhastic / sales-forecasting-system-st
Sales forecasting system prototype w/ dashboard using SARIMAX model
Language:Python 3Ismat-Samadov / Sales_Forecasting
Adidas Sales Forecasting
Language:Jupyter Notebook 2LangeJustin / Walmart-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.
Language:Jupyter Notebook 2Mabrar92 / Data-Analysis-in-Excel
This repository serves as a showcase of the skills I've acquired through Datacamp's "Data Analysis in Excel" course.
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mztrk / Case-SalesForecasting
Sales forecasting with random forest, decision tree. Promotion effect calculation.
Language:R 2OleksandrKosovan / complex-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.
Language:Jupyter Notebook 2Pradnya1208 / Walmart-store-sales-prediction
This project aims to forecast the weekly sales of Walmart stores across the USA.
Language:Jupyter Notebook 2sn2727 / sales-forecasting
Customer segmentation and saales forecasting on online retail dataset from UCI.
Language:Jupyter Notebook 2ximihoque / Multi-Variate-Time-series-prediction
An example of multi-variate time-series prediction
Language:Jupyter Notebook 2affec-ds / Financial-Forecast
Predicción de ventas en retail utilizando Machine Learning. Comparación de modelos y visualización de insights clave.
Language:Jupyter Notebook 1divya-bhutani / Superstore-Sales-Dashboard
Power BI project analyzing Superstore sales data (2019-2020) with interactive dashboards and sales forecasting.
Honey28Git / Online-Retail-Store-Data-Analysis-on-MS-Excel
Data Analysis on MS Excel for Online-Retail Store
manishankarjha / SuperStore-Sales-Analysis-and-Forecasting
SuperStore Sales analysis in Power BI with forecasting of upcoming 15 days sales
purrvaja / Scalable-Time-Series-Forecasting
Time series forecasting using Prophet and PySpark for parallelized model training.
Language:Jupyter Notebook 1rahulbhesare / Superstore-Sales-Dashboard-PowerBI
Interactive Data Visualization For the Superstore sales dataset, lets built a sales dashboard in Power BI.
Sara-Esm / inventory-management
Predict retail sales for Walmart stores to optimize inventory levels and improve supply chain operations using machine learning models.
Language:Jupyter Notebook 1Shailesh-Padhariya / Sales-Analysis
This project performs exploratory data analysis (EDA) and sales forecasting for a retail dataset. It leverages Python libraries such as Pandas, Matplotlib, Seaborn, and Facebook Prophet to analyze sales trends and predict future sales.
Language:Jupyter Notebook 1
