Excel and other spreadsheets are the workhorses of modern business. You've probably used the regression function to find a trend line or other linear relationship in your data. Here's why using Python ...
aDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA bCenter for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, ...
@book{lim2025financialdatascience, author = {Terence Lim}, title = {Financial Data Science in Python Notebooks}, year = {2025}, url = {https://terence-lim.github.io ...
This project applies machine learning techniques to predict lithology (e.g., sand vs. shale) using well log data. Multiple models were developed, evaluated, and compared to determine which approach ...
The 3-factor model (FF3) published by Fama and French (1993) significantly supplemented the lack of explanatory power in CAPM with three variables: market beta (Mkt-RF), size premium (SMB: Small Minus ...
Univariate linear regression analysis of the improvement of BCVA and PED with the baseline characteristics of participants. A negative β coefficient indicates that higher values of the predictor are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results