Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...
Prediction markets have quietly become one of the most interesting corners of the tech world. From forecasting elections to predicting sports outcomes and even guessing the next big product launch, ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Currently using data science in industry to solve complex problems in distributed systems design, cloud computing, and disaster readiness for online services. I completed a graduate degree in Computer ...
A comprehensive analysis and forecasting project for Samsung stock data, utilizing historical data to build predictive models and analyze volatility. An autonomous risk-overlay system simulating a ...
This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...
Objectives To project the future burden of cancer mortality in India by forecasting age-standardised mortality rates (ASMRs) for 23 major cancer types up to the year 2030, providing crucial evidence ...
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