note

Demand Forecasting Implementation Guide Using Statistical Formulas: Achieving 15-20% MAPE in Three Stages (Weighted Moving Average → Exponential Smoothing → ETS) | Step 1 ...

In our previous article, "Minimum Implementation for Rule-of-Thumb Ordering," we introduced how to implement rule-of-thumb methods targeting a MAPE (Mean Absolute Percentage Error) of around 30%.
Hosted on MSN

Nwanegbo bags Africa Digital Award in applied artificial intelligence and data science

Ifeanyi Nwanegbo, a distinguished Data Scientist and Applied Data Science professional, has been honoured as the Outstanding Innovator in Applied Artificial Intelligence and Data Science at the 2024 ...
GitHub

sales-data

End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day ...
GitHub

An Open-source Drug Discovery Engine

OpenDDE is a preview release. CLI flags, input/output JSON fields, and released checkpoints may change between versions, and predictions are not guaranteed to be reproducible across releases. It is ...