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

Time Series Decomposition techniques and random forest algorithm on sales data

Machine Learning for Retail Sales Forecasting — Features Engineering

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

Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more

使用LSTM预测商品销量，考虑销量激增点影响

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

Consumer Buying pattern Analysis and Sales Forecasting using Artificial Intelligence.

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

Exponential Smoothing, SARIMA, Facebook Prophet

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.

Example of Sales Forecasting

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

Retail Sales Forecasting and Monitoring project offers real-time analysis and forecasts for retail sales.

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 bus…

Users business cases in python

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.

An example of multi-variate time-series prediction

This repository serves as a showcase of the skills I've acquired through Datacamp's "Data Analysis in Excel" course.