GitHub topics: sales-forecasting

sngr0x0/DEPI-Project

DEPI Project - Sales Forecasting and Demand Prediction

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Alro10/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

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Proyecto de análisis de datos para predecir las ventas de un supermercado. Utiliza Python (Pandas, Scikit-learn, etc.) para el procesamiento de datos y la construcción del modelo, y Power BI para un dashboard interactivo que muestra el rendimiento del modelo y explora los datos de ventas.

Language: Python - Size: 1.39 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

RoushanKhalid/FUTURE_ML_01

This project develops a retail sales forecasting system using Prophet for automated time-series analysis and XGBoost for optimized predictions, enabling accurate demand forecasting.

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Pavk2k/nike-data-analysis

Interactive Excel dashboard analyzing Nike USA product sales using pivot tables, slicers, and revenue forecasting.

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chanekarayush/Sales_Forecasting_Using_TFT

Sales Forecasting using Temporal Fusion Transformers

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frizchar/sales-forecasting

forecasts store sales using the prophet algorithm

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ivaanblnc/analisis_supermarket

Proyecto de análisis de datos para predecir las ventas de un supermercado. Utiliza Python (Pandas, Scikit-learn, etc.) para el procesamiento de datos y la construcción del modelo, y Power BI para un dashboard interactivo que muestra el rendimiento del modelo y explora los datos de ventas.

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NeuroByte-Consulting/Sales-Data-Analysis-and-Forecasting-Using-Ensemble-Methods

Sales Data Analysis and Forecasting Using Ensemble Methods. Data Collection and Cleaning, Exploratory Data Analysis, Data Analysis and Data Visualization, and Sales Forecasting

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Projects-Developer/Big-Mart-Sales-Prediction-Using-Machine-Learning

The Big Mart Sales Prediction project aims to predict the sales of various products at different Big Mart stores using machine learning algorithms. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

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ZenaPoudel/rqf-demand-forecast

Demand Forecasting with Quantile Regression Forest

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natgluons/FMCG-Data-Modeling

SQL, ARIMA, and K-Means Clustering for data analysis dan customer segmentation regarding sales data

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affec-ds/Financial-Forecast

Predicción de ventas en retail utilizando Machine Learning. Comparación de modelos y visualización de insights clave.

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tushar2704/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.

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PhanChenh/PredictQuantity_PythonProject_PizzaDataset

Sales Quantity Forecasting for Pizza Dataset 2015

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vijayalaxmishirnal01/Brainwave-Matrix-Solutions-Intern

Internship Domain-Data Science/ Data Analytics

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Shailesh-Padhariya/Sales-Forecasting

This project focuses on predicting sales using various machine learning models. The dataset includes key sales indicators such as product details, store attributes, and promotional factors. The goal is to develop an accurate predictive model by comparing multiple regression techniques.

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Suretek-Builds/sales-analysis-system

A web-based Sales Analysis System designed to provide insights into sales performance. Features include daily sales tracking, sales vs labor analysis, trend reports, and forecasts. Built with React, .NET, and MS-SQL for real-time data visualization and actionable reports to optimize sales strategies.

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ThakkarVidhi/mart-sales-predictor

Mart Insight predicts mart sales using machine learning, EDA, and XGBoost, helping retailers optimize inventory and make data-driven decisions.

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kouatcheu1/Auto_sales_analysis

This project is an analysis of an Auto company sales analysis, segmentation and sales forecast.

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DataStatsMohith/Sales-Forecasting

Predicts store sales using machine learning models, featuring data preprocessing, feature engineering, and hyperparameter tuning. Includes end-to-end workflows for model optimization and evaluation. Visualizes insights and performance metrics with SHAP analysis and feature importance plots.

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TrueCodee/walmart-ml-forecasting

Walmart Sales Forecasting using ARIMA, Decision Tree, and XGBoost models to enhance inventory management, staffing, and promotional strategies. Features exploratory analysis, data preprocessing, and actionable insights for strategic planning.

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AnnaAnastasy/Sales-Forecasting-Fighting-Data-Leakage

This project highlights the dangers of data leakage in machine learning, showcasing how it can lead to misleadingly high model accuracy, and emphasizes the importance of rigorous validation and awareness to ensure realistic predictions.

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Z-Fran/Walmart-Store-Sales-Forecasting

Data analysis and machine learning solution in Python for the Kaggle competition Walmart Recruiting - Store Sales Forecasting.

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Ismat-Samadov/Sales_Forecasting

Adidas Sales Forecasting

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Honey28Git/Online-Retail-Store-Data-Analysis-on-MS-Excel

Data Analysis on MS Excel for Online-Retail Store

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Praveendinesha/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.

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mithilesh-yadav-coding/Super-Store-Sales-Dashboard-

Super Store Sales Dashboard

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1401Dev/Iowa-Liquor-Retail-Sales-Analysis

This repository contains the analysis of Iowa liquor retail sales data, aimed at uncovering sales trends and forecasting future sales patterns. The project involves data cleaning, preparation, and advanced time series analysis using Microsoft SQL Server and Google Colab.

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Toluwaa-o/Weekly-Sales-Forecasting

Enhancing Walmart's Operational Efficiency: Achieving Accurate Weekly Sales Predictions with Advanced Regression Modeling

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Riya2624/Super-Stores-Sales-Dashboard---Power-Bi

Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving business success

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atharvapathak/Sales_Forecasting_Project

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

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Manu-Abuya/Electric-Vehicles-Market-Size-Analysis

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.

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harehimself/salesoptics

SalesOptics is an AI-powered platform that helps enterprise sales teams optimize processes and close more deals through predictive analytics and automated insights.

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adharshvenkat/sales-forecasting

This project aims to develop a model using ARIMA & Seasonal ARIMA to forecast future sales

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iamzehan/kaggle_timeseries

Time Series Forecasting

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Circhastic/sales-forecasting-system-st

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jomariya23156/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

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MonicaDara/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.

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matthiasf1/Kaggle_M5PointPrediction

CM3070 Final Project Repository

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OleksandrKosovan/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.

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purrvaja/Scalable-Time-Series-Forecasting

Time series forecasting using Prophet and PySpark for parallelized model training.

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DataVisualizationExpert/Pizza-Shop-Sales-Analysis-SQL-Power-BI

This repository contains the code and data for analyzing pizza sales using SQL Server as the data store and Power BI for data visualization and analysis. Explore sales trends, customer preferences, and more to gain insights into pizza sales using this repository.

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azamprof70/Sales-Power-Bi-Project-

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

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manishankarjha/SuperStore-Sales-Analysis-and-Forecasting

SuperStore Sales analysis in Power BI with forecasting of upcoming 15 days sales

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Timothygbenga/Sales-Performance-Dashboard

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.

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samirsaci/ml-forecast-features-eng

Machine Learning for Retail Sales Forecasting — Features Engineering

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YahyaSoker/MachineLearning_Projects

Hey there! 👋 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! 🚀

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grimmlab/HorticulturalSalesPredictions

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

Language: Python - Size: 238 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 4

AjNavneet/BigMartSales_PredictiveAnalytics

Sales forecasting models for BigMart.

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AjNavneet/RossmannSalesForecast_GCP_Deployment

Rossmann store sales forecasting taking into account various influencing factors along with GCP Cloud Deployment.

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eliasbatistasouza/rossmann_sales

Machine learning sales forecast model for Rossmann stores

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hitthecodelabs/PharmaSalesPredictor

Comprehensive Jupyter notebook designed for analyzing and predicting pharmaceutical sales with PySpark

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manugaco/use_cases

Users business cases in python

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mztrk/Case-SalesForecasting

Sales forecasting with random forest, decision tree. Promotion effect calculation.

Language: R - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

Lintianqianjin/Sales-forecast-LSTM

使用LSTM预测商品销量，考虑销量激增点影响

Language: Python - Size: 7.83 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 24 - Forks: 5

Ahmed-Ashraf-Marzouk/Elzoboon-CRM

Machine learning algorithms applied on the Online retail dataset provided by UCI Machine learning 🤖

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30lm32/ml-time-series-analysis-on-sales-data

Time Series Decomposition techniques and random forest algorithm on sales data

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Mabrar92/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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rafi-fauzan/Iowa_Liquor_Sales

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pyhtonman0101/Rossmann-Sales-Prediction-

A Supervised Machine Learning project in which I forecast upcoming six weeks of sales in advance using different ML Model For Rossmann Stores

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ashrafalaghbari/RetailSensei

Retail Sales Forecasting and Monitoring project offers real-time analysis and forecasts for retail sales, enabling businesses to make data-driven decisions based on sales trends and patterns.

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Adityarizqi7/belajar-algoritma

Repository untuk menyimpan file program dan excel belajar Algoritma di Channel Youtube Aditya RA

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siminliao/M5-forcasting-Walmart-sales

Predict Walmart future 4-week sales https://www.kaggle.com/competitions/m5-forecasting-accuracy

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Pradnya1208/Walmart-store-sales-prediction

This project aims to forecast the weekly sales of Walmart stores across the USA.

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rajtulluri/Olist-business-analysis

A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.

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LangeJustin/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.

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akshitvjain/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

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