Practice Material
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Updated
Aug 14, 2020 - Jupyter Notebook
Practice Material
an R project of manipulating and fittingdata into regression with 95.5% R-Square, involving Automated Selection, detecting outliers, influential observations and multicollinearity
Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA
Diagnostic tools for regression modeling.
Using the Python programming language, this analysis tested seven hypotheses across three phases: whether AI, BCT, and BDA relate to, individually predict, and jointly predict the perceived effectiveness of Forensic Fraud Investigation (FFI). Pearson correlation, simple and multiple linear regressions were used, with OLS assumption checks reported.
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