decision-trees

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Updated Apr 7, 2018
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njtierney / broomstick

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🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲

machine-learning statistical-learning randomforest rstats broom gbm decision-trees rpart

Updated Dec 3, 2023
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nanxstats / stackgbm

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🌳 Stacked Gradient Boosting Machines

machine-learning xgboost gbdt gbm lightgbm ensemble-learning decision-trees automl gradient-boosting catboost model-stacking

Updated May 6, 2024
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Rpita623 / Detecting-Credit-Card-Fraud

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Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.

Updated Nov 4, 2021
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john-m-burleson / NHANES-R-Programming

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This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

Updated Oct 20, 2022
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bgreenwell / MLDay18

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Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

machine-learning r random-forest gradient-boosting-machine decision-trees partial-dependence-plot variable-importance-plots

Updated Sep 15, 2018
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bakaburg1 / tidytrees

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tidytrees: a package for a tidy representation of decision trees.

machine-learning r machine tidy decision-trees

Updated May 20, 2021
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MoganaD / Machine-Learning-on-Breast-Cancer-Survival-Prediction

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We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipe…

machine-learning variable-importance survival-analysis decision-trees breast-cancer-prediction prediction-model cancer-data

Updated Nov 1, 2020
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AGARNER18 / Respiratory-Mortality

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Predict respiratory patient mortality in ICU units using the MIMIC III database

r sql neural-network random-forest postgresql ranger xgboost decision-trees rpart support-vector-machines mimic-iii stacked-ensembles

Updated Dec 4, 2017
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shraddhasomani / Statistical-Modeling-for-NASDAQ100-Stock

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Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day

r statistical-analysis stock-market naive-bayes-classifier decision-trees garch gradient-boosting-classifier nasdaq100 arima-model

Updated Sep 25, 2023
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susanli2016 / Machine-Learning-with-R

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R codes for common Machine Learning Algorithms

random-forest svm naive-bayes linear-regression pca logistic-regression decision-trees lda polynomial-regression knn kmeans-clustering apriori-algorithm hierarchical-clustering svr xgboost-algorithm

Updated May 26, 2017
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blind-contours / CVtreeMLE

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🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation

machine-learning statistics variable-importance decision-trees targeted-learning causal-inference robust-statistics exposure-mixtures causal-effects

Updated Jun 18, 2024
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dixitamol / insuranceSalePredictor

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The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.