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SoFiE Financial Machine Learning Summer School "Financial Machine Learning" July 28 – August 1, 2025 The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based ...

This study investigates how environmental factors impact photovoltaic systems’ outputs, through a one-year data collection. Nineteen machine learning linear regression models were employed to predict ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

Regression-based machine learning models for nitrate and chloride prediction in surface water in a small agricultural sand plain sub-watershed in southwestern Ontario, Canada ...

Machine learning models analyze complex patterns within medical datasets, enabling precise prediction and classification of diseases like CHD [14]- [18]. This study explores the application of three ...

Additionally, machine learning is used to allow computer programmers to determine, without explicit programming, which of its applications—graphing, regression, and predicating is most closely related ...

Files to Edit and Submit: You will fill in portions of logistic_regression.py during the assignment. You should submit this file containing your code and comments to the Programming component on ...

Denny Carter goes deep into the Week 1 data to find players who ran hot or cold to kick off the season.