inchara1990 / R-code-ClassifiersLinks
The R code compares the performance metrics between logistic regression, SVM, Naive Bayes, Knn and random forest classifers in a 10 fold cross validation loop. The features are iteratively selected in a forward selection manner and everytime a new feature(next best feature selected based on regsubsets) is added the accuracy of the classifers ar…
☆16Updated 9 years ago
Alternatives and similar repositories for R-code-Classifiers
Users that are interested in R-code-Classifiers are comparing it to the libraries listed below
Sorting:
- caret models all the way down☆228Updated 3 weeks ago
- Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language☆174Updated 4 months ago
- Practical examples for the R caret machine learning package☆69Updated 8 years ago
- 17 Classification Algorithms using R☆56Updated 9 years ago
- Getting Started With R☆233Updated 11 years ago
- Bioinformatics related demos and tutorials using the R programming language☆234Updated 2 years ago
- Tutorials for the dplyr package in R☆164Updated 7 years ago
- A repository for all of my teaching material☆147Updated 7 years ago
- TFI competition on Kaggle☆12Updated 10 years ago
- ☆33Updated 9 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated last year
- Youtube companion (https://www.youtube.com/watch?v=1Mt7EuVJf1A&feature=youtu.be) - Brief introduction to the SMOTE R package to super-sam…☆11Updated 11 years ago
- Machine Learning with R☆237Updated 2 years ago
- The github repository for mathematical biostatistics bootcamp 2☆163Updated 7 years ago
- This repository contains my ML scripts in R☆33Updated 8 years ago
- R wrapper for Van der Maaten's Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding☆263Updated 2 months ago
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆46Updated 6 months ago
- Biostatistics 301: Introduction to Statistical Computing☆82Updated 7 years ago
- data_mining_with_r☆83Updated 4 years ago
- R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks☆122Updated 8 years ago
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html☆400Updated 7 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆197Updated 8 years ago
- Survival Analysis and Visualization☆556Updated 3 months ago
- ☆81Updated 8 years ago
- R package for exploratory data analysis☆119Updated 7 years ago
- Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.☆150Updated 3 months ago
- Code used in Kaggle competitions☆23Updated 8 years ago
- For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)☆91Updated 7 years ago
- Gradient boosted models☆145Updated last year
- ☆153Updated 4 years ago