In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to contribute to ...

R2=0R^2 = 0R2=0 → Model explains 0% variance (poor model) R2=1R^2 = 1R2=1 → Model explains 100% variance (perfect model) 🔴 Limitation: Adding more independent variables always increases R2R^2R2, even ...

After discussing portfolio benchmarking and performance metrics, I felt it was time to dig deeper into R-Squared and Adjusted R-Squared, the two metrics that often get thrown around but are rarely ...

Investors choose funds in the hopes that they align with their risk preferences and long-term goals. If funds drift from their stated intentions, investors could end up lost at sea. Funds need to ...

MakerFabs sent the package to me from China. Inside the package, there were 4 sets of the MaUWB_DW3000 with STM32 AT Command. Each set contains the module, a 3.7V 600mAh battery, and 2 pieces of ...

ESPO-G6-R2 v1.0 is a set of statistically downscaled and bias-adjusted climate simulations based on the Coupled Model Intercomparison Project 6 (CMIP6) models. The dataset is composed of daily ...

Isotopic composition modelling is a key aspect in many environmental studies. This work presents Isocompy, an open source Python library that estimates isotopic compositions through machine learning ...

Easy-to-use piecewise regression (aka segmented regression) in Python. For fitting straight lines to data where there are one or more changes in gradient (known as breakpoints). Based on Muggeo's ...

This project applies the Fama-French three-factor model to analyze the return drivers of an equal-weighted U.S. stock portfolio. The portfolio consists of ten large-cap U.S. stocks across technology, ...