Demo of 1-pass variable importance using t-digests
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Updated
Jun 18, 2017 - Jupyter Notebook
Demo of 1-pass variable importance using t-digests
🎯🎓 An introductory workshop lecture on a generalized framework for Targeted Learning using the tmle3 R package
Prediction of equipment failures
My analysis about a Flyball dog race season.
Identify the most important variables that contribute to the level of sustainability of schools using supervised machine learning. Use the importance to assign a weight to each characteristic and calculate a sustainability index for each school.
Code and tutorials for implementing the GlObal And Local Score
Comprehensive dimensionality reduction and cluster analysis toolset
A large dataset for studying the early readmission of diabetic patients problem
Predict prices of diamond data in ggplot2
WL paclet with functions for finding variables importance in datasets.
Simulating Supervised Learning Data
Final Project: Predictive and descriptive analysis, interpretations, and recommendations based on Austin Animal Center data on cats housed at the shelter. The main focus of this analysis is to determine which factors affect a cat's chances of being adopted or returned to their owner.
2022년 2학기 팀 프로젝트 : 도금공정 데이터 셋 분석(k-인공지능 제조데이터 분석 경진대회)
📦 🔬 R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
R script to rank and select variables based on their importance/predictive power
Code for Master Thesis
SVC and KNN methods were used to predict whether mushrooms are poisonous or edible according to their properties. Random forest and chi-square variable selection methods were applied and the 10-fold cross validation method was used and f1 scores were calculated by re-estimating. Finally, the models were compared.
Important Variable selection
Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.
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