Using logistic regression, decision trees, and Markov chains
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Updated
May 27, 2024 - R
Using logistic regression, decision trees, and Markov chains
Using linear regression with best subset selection and decision trees.
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
An R package to create and visualise fast-and-frugal decision trees (FFTs)
🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
All the Data Science projects I've done, during the course, or after.
Tools created for machine learning classification model evaluation
🌳 Stacked Gradient Boosting Machines
Project to produce supervised ML algorithm to predict which customers are likely to leave and produce .Rmd report
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
Personal project & homework using clustering and classification algorithms
Using decision tree : ID3 algorithm to predict 10 year risk of future heart disease.
Vežbe 4: Stabla odlučivanja
Collection of machine learning algoritm written in R. covering various supervised and unsupervised machine learning algorithm. These codes are made as supplement of academic module in our data mining and knowledge management course.
Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data
Ensemble Techniques
Extract knowledge from a data using different techniques, including Association Rules Hierarchical Agglomerative Clustering (HAC) K-means Clustering Decision Trees
🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲
Vehicle Data Platform Pilot Performance Analysis (Data Analyst)
R project to diagnose PCOS using a decision tree algorithm. Use of machine learning models has scope to reduce healthcare costs, increase attention towards PCOS diagnosis and ultimately improve healthcare and quality of life for women.
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