Projects in Awesome Lists by rachkat
A curated list of projects in awesome lists by rachkat .
https://github.com/rachkat/auto-loss-kri-selection-pca-logit-r
Determine KRIs for auto models using IIHS loss data. PCA for dimensionality reduction; linear & logistic regression to select collision, bodily injury, and property damage as KRIs. Includes code outputs and model interpretation.
iihs insurance-analysis key-risk-factor-analysis logistic-regression pca r risk-management
Last synced: 04 Oct 2025
https://github.com/rachkat/fraud-detection-pridit-pca-r
Claims fraud analytics in R: data ingestion/cleaning with Basel II framing, then PRIDIT + PCA (RIDITs) to surface suspicious claims without labels. Includes methodology comparisons and R outputs.
basel-ii fraud-detection operational-risk-analytics pca pridit r ridit
Last synced: 04 Oct 2025
https://github.com/rachkat/analyzing-cost-benefit-r-activity
Decision Tree classification on the Titanic dataset with evaluation using a Confusion Matrix and ROC Curve. Achieved 78.1% accuracy and an AUC of 0.8147, highlighting sex, age, and passenger class as key survival predictors.
classification- confusion-matrix decision-tree machine-learning- model-evaluation r roc-curve- titanic-dataset-
Last synced: 12 Aug 2026
https://github.com/rachkat/monte-carlo-capital-modeling
Operational risk Monte Carlo (Poisson/Lognormal) for collision losses—methods, R code, and 99.9% capital estimate.
capital-modeling lognormal monte-carlo operational-risk poisson r risk-managemnt
Last synced: 04 Oct 2025
https://github.com/rachkat/random-foresst-analysis-r-studio-plotting-classification-tree
Classification analysis in R using the birthwt dataset. Built and compared Decision Tree and Random Forest models to predict low birth weight. Both achieved 71.05% accuracy, with Random Forest reducing overfitting and confirming maternal weight and age as key predictors.
classification data-analysis decision-trees machine-learning predictive-modeling r random-forest
Last synced: 13 Aug 2026
https://github.com/rachkat/rachelgoldsbury.github.io
Data Analytics Blog- Thoughts & Insights: Lightweight analytics blog—snippets, charts, and bite-size experiments.
blog data-visualizations jekyll mini-projects notes python r sql
Last synced: 14 Apr 2026
https://github.com/rachkat/predictive-modeling-customer-targeting
Predictive analytics project (Logistic Regression + Random Forest) using CoIL Challenge 2000 dataset to optimize customer targeting for insurance acquisition.
crm-integration data-science machine-learning marketing-analytics r random-forest
Last synced: 18 Jul 2026
https://github.com/rachkat/interactive-data-visualization-r
Hands-on project in R demonstrating interactive visualization (scatter plots, histograms) and predictive modeling with linear regression, highlighting model assumptions and evaluation.
Last synced: 03 Aug 2026