Prediction of equipment failures
-
Updated
Jun 11, 2024 - Jupyter Notebook
Prediction of equipment failures
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.
Predict prices of diamond data in ggplot2
WL paclet with functions for finding variables importance in datasets.
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
R script to rank and select variables based on their importance/predictive power
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.
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.
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.
In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.
This project relates to a methodological report on canton Bern forest fire modelling and mitigation strategies.
Demo of 1-pass variable importance using t-digests
Code for Master Thesis
2022년 2학기 팀 프로젝트 : 도금공정 데이터 셋 분석(k-인공지능 제조데이터 분석 경진대회)
Important Variable selection
Demo notebook and data for Spark Summit Dublin 2017: One-Pass Data Science with Generative T-Digests
💬 Talk on causal inference and variable importance with stochastic interventions under two-phase sampling
Add a description, image, and links to the variable-importance topic page so that developers can more easily learn about it.
To associate your repository with the variable-importance topic, visit your repo's landing page and select "manage topics."