#

decision-trees

Here are 161 public repositories matching this topic...

gtsa / How_well_do_you_perform_your_work-out---ML_Case-Study

In this project we can see in action and in detail a big part of the ML pipeline (data wrangling,model building, model evaluation) that comprises different algorithms and approaches such as Decision Trees (RPART), Linear Discriminant Analysis (LDA), Gradient Boosting Machne (GBM), Random Forest (RF) Support Vector Machine (SVM) with or without M…

machine-learning random-forest cross-validation model-selection classification dimensionality-reduction gradient-boosting-machine support-vector-machine data-wrangling data-preprocessing decision-trees principal-component-analysis model-evaluation linear-discriminant-analysis model-building model-stacking

Updated Aug 27, 2020
R

shiny-decision-trees

Foggalong / shiny-decision-trees

Shiny app for creating spam filter decision trees

machine-learning r shiny decision-trees spam-filtering

Updated Sep 2, 2021
R

pranshu1921 / Clustering-Decision-Tree-Iris-data

Implementing Clustering, Decision trees on Iris dataset using R

decision-trees kmeans-clustering rprogramming density-based-clustering

Updated Sep 25, 2020
R

Suravi097 / My.Works.

This repository contains all my works, my internships that I have worked on along with other additional projects that I did using R and Python.

python r random-forest numpy linear-regression scikit-learn machine-learning-algorithms pandas seaborn classification scatter-plot logistic-regression outlier-detection decision-trees predictive-modeling

Updated Feb 27, 2021
R

TawfikFadzil / Child-Mortality-Rate

A comparative study of linear regression and decision tree to predict the child mortality rate based on other socioeconomic indicators from the World Bank.

linear-regression decision-trees lasso-regression child-mortality

Updated Nov 28, 2021
R

aritzLizoain / Credit-applicant-classification

Classifying credit applicants with 9 different ML models

neural-network random-forest naive-bayes-classifier logistic-regression decision-trees svm-classifier lda-model classification-model knn-classifier credit-approval

Updated Jun 24, 2022
R

Daniel-Carpenter / Advanced-Analytics-in-R

Advanced Data Analysis with R

machine-learning r deep-learning neural-network clustering ensemble-learning decision-trees

Updated Dec 28, 2022
R

AlexanderHolmes0 / VisualizeTree

Experiment with hyperparameters in tree training 🌲

marketing decision-trees shiny-apps

Updated Jun 29, 2023
R

iamtusharbhatia / Machine-Learning

This repository contains various assignments that I have done as a part of the Machine Learning course.

python machine-learning r tweets random-forest linear-regression naive-bayes-classifier neural-networks logistic-regression k-means decision-trees support-vector-machines jaccard-similarity knn jaccard-distance boosting bagging

Updated May 20, 2017
R

raulcarlomagno / dmuba-machinelearning-tp1

data-science machine-learning r weka decision-trees

Updated May 20, 2018
R

ali9653 / Data-S

Models in R

linear-regression logistic-regression decision-trees discriminant-analysis

Updated Sep 21, 2019
R

abduliante / home-credit-default-risk

Assessing the probability of a customer to default their loan using financial analytics

machine-learning neural-network random-forest linear-regression exploratory-data-analysis logistic-regression decision-trees financial-analysis

Updated Nov 16, 2021
R

jakeberggren / TDDE01-Machine-Learning

TDDE01 - Machine Learning course at Linkoping University, Sweden

machine-learning neural-network linear-regression pca-analysis logistic-regression decision-trees ridge-regression support-vector-machines lasso-regression knn-classification kernal

Updated Feb 9, 2023
R

FellaBennadji / DDL_Internship_Project

Code on my Internship project in DDL lab

text-mining r correlation regression data-visualization gender decision-trees classification-model rule-based-model biais

Updated Nov 21, 2022
R

arg0naut91 / Kaggle-Kernels

clustering kaggle classification gbm decision-trees network-analysis class-imbalance igraph

Updated Apr 2, 2019
R

dixitamol / telecom_customer_churn_analysis

Customer Churn project for a telecom firm. The project aims to predict the possibility of a customer to churn by using methods of Data Analysis and Machine Learning with sound accuracy and justifies its result by showing the expected cost-benefit from following their recommendations.

machine-learning r random-forest linear-regression keras telecom neural-networks supervised-learning classification gpu-acceleration logistic-regression decision-trees keras-neural-networks churn-prediction rprogramming customerchurn

Updated Jan 1, 2023
R

samya-NCI / MachineLearning

This project compares the efficiency and accuracy of different machine learning models on 3 unrelated datasets but having the same theme i.e. car data.

machine-learning linear-regression logistic-regression decision-trees arima k-modes

Updated Aug 22, 2020
R

bakaburg1 / tidytrees

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

machine-learning r machine tidy decision-trees

Updated May 20, 2021
R

alexaoh / project

[Autumn 2022] Specialization project leading up to main thesis in MSc Applied Physics and Mathematics at NTNU.

decision-trees variational-autoencoder xai counterfactual-explanations generative-modelling

Updated Dec 21, 2022
R

snehalvartak / Income-Level-Prediction

Predicting the income level of a person given demographic data.

data-mining random-forest naive-bayes decision-trees

Updated Jan 24, 2018
R

Improve this page

Add a description, image, and links to the decision-trees topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the decision-trees topic, visit your repo's landing page and select "manage topics."