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Linear Algebra 2026
DA Exams
Examination Case Study
MODUL 4 LDA MUltinomial
Analisis Multivariat Modul 4 LDA Multinomial
anngota:
Argya Ishmat/042 Dan Royhan Jinan Ramadlani/167
Kelas: 2024D
ECON 465 – Stage 1
This report analyzes two financial datasets using data science methods in R. The first dataset focuses on regression analysis to examine factors related to loan amounts, while the second dataset focuses on classification analysis to predict credit card default behavior. The report includes data cleaning, summary statistics, histogram analysis, log transformations, and theoretical distribution analysis.
MTBLS4461-lipidomics
R Markdown notebook implementing a full lipidomics pipeline on MTBLS4461
(MetaboLights). Covers data acquisition, QC, PQN normalisation, KNN
imputation, PCA, and differential abundance testing by diabetes status
and gender using limma eBayes.
