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svm-classifier

Here are 45 public repositories matching this topic...

anishsingh20 / Statistical-Learning-using-R

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
R

anilsilwal98 / AppliedPredictiveModeling

Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"

r neural-network linear-regression nn data-transformation prediction model-selection naive-bayes-classifier caret preprocessing predictive-modeling data-cleaning svm-classifier r-programming mass applied-predictive-modeling r-programming-projects

Updated Aug 28, 2019
R

AlvinMark / PGDDS-IIIT-Bangalore

A set of projects I worked on as part of my PG Diploma in Data Science Program

data-science exploratory-data-analysis data-visualization data-analysis logistic-regression predictive-modeling predictive-analytics svm-classifier r-programming time-series-analysis linearregression pgdds-iiit-bangalore

Updated Jul 22, 2018
R

RoobiyaKhan / Classification-Models-Using-R

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R

naive-bayes-classifier logistic-regression decision-tree-classifier svm-classifier random-forest-classifier knn-classifier kernel-svm-classifier

Updated Jan 18, 2018
R

airdipu / Data-Mining-using-R

This project is on Data Mining process using R depending on ISLR book.

data-mining r svm linear-regression pca decision-trees lda ridge-regression pcr svm-classifier non-linear-regression pls subset-selection logisticsregression

Updated Jun 6, 2020
R

KashmiraDolas / tagPredictor

Text Mining / data mining - model, GUI in R/shiny-app

data-science r naive-bayes-classifier shiny-apps svm-classifier data-minig textmining

Updated Feb 8, 2018
R

anudeepvanjavakam1 / Income-Classification-of-people-in-US

a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification

machine-learning r high-dimensional-data naive-bayes-classifier classification data-table svm-classifier smote imbalanced-classification xgboost-classifier income-prediction

Updated Nov 22, 2016
R

deeprpatel700 / Predictive-Analysis-of-Obesity-levels-with-Automatic-Classifiers

Classification Analysis with supervised algorithms KNN, RandomForest and SVM. Use of PCA and K-means to recognize the importance of features.

dplyr random-forest rstudio machine-learning-algorithms pca predictive-analysis confusion-matrix svm-classifier k-means-clustering training-data testing-data classification-analysis supervised-algorithms-knn

Updated Jan 9, 2021
R

swilliamc / Capstone2

Heart Failure Prediction for Harvard University Professional Certificate in Data Science Capstone Project, 2nd Capstone Project using R programming

data-science machine-learning r random-forest exploratory-data-analysis data-visualization data-analytics data-analysis logistic-regression predictive-modeling decision-tree-classifier ensemble-model svm-classifier r-programming lda-model supervised-machine-learning heart-failure ensemble-machine-learning qda

Updated Nov 1, 2020
R

fruxc / R-Programming

R-Programming using R studio as per college curriculum .

support r rstudio svm linear-regression visualisation naive-bayes-classifier logistic-regression support-vector-machine basics decision-tree principal-component-analysis svm-classifier debugging-tools rprogramming

Updated Nov 4, 2020
R

anandi1989 / Multi-Label-Classifier

Multi-Label Classifier in R

machine-learning r ensemble-learning svm-classifier multi-label-classifier

Updated Aug 30, 2018
R

NBA_GAMES

bnafack / NBA_GAMES

The project aims to predict the winner of a basketball game, the ranking of the NBA Playoffs, the winner of each conference, as well as the winner of the NBA.

machine-learning classification decision-tree-classifier svm-classifier nba-prediction

Updated Jan 30, 2022
R

mrverde / msc_dissertation_santander

MSc. final dissertation. Dataset: Santander Costumer Satisfaction from kaggle.com https://www.kaggle.com/c/santander-customer-satisfaction

data-science machine-learning r random-forest spanish supervised-learning xgboost bayes-classifier knn svm-classifier

Updated Nov 26, 2017
R

sidchakravarty79 / Machine-learning-to-predicit-Activity-of-Daily-living

Activity of daily living

machine-learning-algorithms activity-recognition svm-classifier

Updated Feb 24, 2017
R

akrm3008 / gasoline

Methodology and code to use social data for forecasting shortage of essential commodities (gasoline/PPE/toilet paper) during disasters like hurricanes and pandemics

natural-language-processing text-classification forecasting regression-models svm-classifier hybrid-model arima-model

Updated Jan 30, 2024
R

chintamanand / R-Script-DataAnalytics-

Data Analytics Programs

rstudio linear-regression prediction logistic-regression cart decision-trees svm-classifier semester-project rscript knn-classification k-means-clustering labwork dataanalytics marketbasketanalysis

Updated Nov 20, 2018
R

axelmora / svm-master

Shiny app que emplea SVM sobre datos de entrenamiento

r rstudio svm machine-learning-algorithms shiny-apps svm-training svm-model svm-classifier

Updated Apr 30, 2017
R

RRafiee / MIMIC

Minimal methylation classifier (MIMIC): A novel method for derivation and rapid diagnostic detection of disease-associated DNA methylation signatures - We describe the development and validation of minimal methylation classifier (MIMIC), combining CpG signature design from genome-wide datasets, multiplex-PCR and detection by single-base extensio…

Updated Dec 1, 2017
R

taricov / R_SVM_Classifier

In this project, I trained an SVM model to classify donors (By making a buy) and to answer the question "How likely would a donor donate the next time?" based on his/her Age and Income.

r algorithms model rstudio svm datascience machinelearning svm-classifier classification-algorithm

Updated Sep 12, 2022
R

Scrayil / Heart_Failure_Prediction

This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.

machine-learning r parallel-computing superlearner statistical-learning ranger glmnet glm svm-classifier prediction-model classification-algorithm nnet random-forest-classifier accuracy-metrics xgboost-classifier k-fold-cross-validation shap-values polymars bayesglm

Updated Jun 9, 2024
R

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