If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Andy Smith is a Certified Financial Planner (CFP®), licensed realtor and educator with over ...

Abstract: In this study, we compare the stock prediction performance of stacked LSTM, ARIMA, and linear regression models. Our objective is to determine which model ...

Abstract: Predicting the stock market is a difficult task due to its volatility and non-linear characteristics. Conventional statistical models frequently fail to adequately represent the dynamic ...

Analysts clash over ISM PMI’s predictive value, with GMI’s Julien Bittel calling it outdated and Henrik Zeberg warning against survey-driven bias. Debate extends to crypto: ISM’s stagnation below 50 ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Objective: Lower respiratory infections (LRIs) remain a major global health challenge. Although the overall burden has declined, cross-country differences in long-term trends, age–sex patterns, and ...

This repository contains a complete implementation of a Sales Cloud forecasting application that predicts trends of products in opportunities. The app provides forecasting capabilities using multiple ...