There are 3 repositories under sales-prediction topic.
📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆
You are opening a new Store at a particular location. Now, Given the Store Location, Area, Size and other params. Predict the overall revenue/Sale generation of the Store.
Digikala data science competition
Predicting the sales of a store
Sales revenue prediction
Deep Exploratory Data Analysis and purchase prediction modelling for the Starbucks Rewards Program data.
This time I am doing it using R language. let's see the results. The solutions includes eda(exploratory data analysis), data visualizations, modelling with Machine learning Models such as XgBoost and AdaBooost etc and check the performance using rmse metrics etc to compare the results.
Bigmart Sales Analysis prediction of the sales, data set from https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/
grocery store sales prediction using neural nets
Predicting purchase amount in Black Friday dataset. (MAE = 2195)
In this repository, I have done simple python projects for understanding the python environment.
Linking a pre-existing R Project with GitHub. The project - Predicting Ice Cream Sales - was carried out on 'Statistics with R' module during the MSc Data Science for Business at the University of Stirling.
This Repository is the official project space of team ALMA2020 - Mishmash Online Hackathon.
Understanding how well a product that is published on the E-Commerce platform Wish is going to sell using Machine Learning.
Bigmart Sales Prediction
This repository houses a robust machine learning project that leverages Linear Regression to forecast sales, utilizing Python and its powerful data science libraries.
Sales Price Prediction is a data-driven approach that utilizes machine learning algorithms to forecast product prices accurately. By analyzing historical sales data and other relevant features, it helps businesses make informed decisions, optimize pricing strategies, and predict future sales trends, enhancing overall profitability.
RetailRevolutioner, aims to provide a solution to the problem of accurately predicting consumer behavior in the retail industry. Our web application will analyze past sales data from clients to provide accurate predictions of which items will be the most popular in the coming month
MSc thesis about sales forecasting in high-dimensional contexts taking into account product relationships and promotions
This repository contains the code for a sales prediction model developed by analyzing and cleaning data from IronHack. Several algorithms were compared in order to build the best possible model for predicting sales.
Pharmaceutical Sales prediction across multiple stores. End-to-end product that delivers this prediction using Streamlit.
Sales prediction tool built with a supervised machine learning model
TimeSeries Analysis in R
Helping our cousin from La Mancha to make stimations in the sales of iberian ham the next months. Applying feature engineer we help our SVM and Random Forest models to make the best predictions we can.
Pharmalytics is a sales prediction application for Firstmed Pharmacy using the SARIMA model and Streamlit.
Sales prediction of New Products using Bass Diffusion Model
Forecast sales for 350+ supplement retail chain stores for next 2 months
Develop a predictive model and understand what drives customers to cross-buy the newest product from a DTC meal-kit business.
A weekly sales store predictor