R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
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Dec 13, 2019 - R
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support-vector-machine
Here are 29 public repositories matching this topic...
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
data-science r random-forest linear-regression machine-learning-algorithms naive-bayes-classifier confidence-intervals logistic-regression support-vector-machine association-rules hypothesis-testing decision-tree descriptive-statistics nlp-machine-learning clustering-algorithm decision-tree-classifier k-nearest-neighbours forecasting-models principle-component-analysis
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Aug 21, 2023 - R
sentiment-analysis random-forest stock-price-prediction artificial-neural-networks support-vector-machine technical-analysis support-vector-machines artificial-neural-network backpropagation stock-prediction stock-price-forecasting fundamental-analysis support-vector-regression resilient-propagation random-forest-regression
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May 6, 2018 - R
R package for the GenSVM classifier
machine-learning r machine-learning-algorithms classification support-vector-machine multiclass-classification
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Jan 28, 2023 - R
Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.
data-science random-forest linear-regression data-visualization data-analysis support-vector-machine data-preprocessing feature-engineering predictive-modeling data-exploration decision-tree geospatial-analysis descriptive-analysis
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Apr 18, 2024 - R
Rainfall prediction from Australian weather dataset using multiple machine learning models.
clustering data-visualization feature-selection artificial-neural-networks logistic-regression support-vector-machine performance-analysis data-preprocessing data-cleaning
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Jun 19, 2021 - R
Machine Learning Project on Imbalanced Data in R
machine-learning support-vector-machine feature-engineering naive-bayes-algorithm hypothesis-testing smote oversampling imbalanced-learning xgboost-algorithm undersampling datacleaning dataexploration
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Feb 24, 2018 - R
Full machine learning practical with R.
natural-language-processing linear-regression artificial-neural-networks logistic-regression support-vector-machine polynomial-regression convolutional-neural-network naive-bayes-classification apriori-algorithm hierarchical-clustering knn-classification support-vector-regression decision-tree-regression k-means-clustering kernel-svm random-forest-regression multiple-linear-regression decision-tree-classification random-forest-classification eclat-algorithm
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May 23, 2021 - R
In this model, eight latent variables (factors) are employed to evaluate perceived service quality about coffee chains in Kuwait using Machine Learning techniques in R
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Jun 29, 2018 - R
Code and data files to practice and cover basic concepts of common machine learning techniques: Random Forest, Logistic Regression, and Support Vector Machine in the problem of Visa Card Behaviour
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Apr 27, 2018 - R
A Data Science Portfolio for potentially interested employers and recruiters.
data-science statistics random-forest exploratory-data-analysis regression data-visualization classification logistic-regression support-vector-machine hypothesis-testing principal-component-analysis linear-discriminant-analysis receiver-operating-characteristic k-nearest-neighbors box-plot neural-net analysis-of-variance contrasts
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Mar 20, 2023 - R
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
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Nov 4, 2020 - R
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
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Aug 27, 2020 - R
My first attempt with building a SVM model, and optimizing the cost and gamma parameters using the Gaussian Kernel grid search method.
machine-learning r optimization svm classification support-vector-machine grid-search financial-data loan-default-prediction gaussian-kernel
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Jan 21, 2019 - R
An R package that simplifies running machine learning algorithms using the tidymodels framework. Includes classification and regression models.
machine-learning r random-forest linear-regression machine-learning-algorithms xgboost logistic-regression support-vector-machine regression-models knn rpackage classification-models
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Dec 9, 2021 - R
A research for customer retention prediction using different algorithm in R
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Feb 26, 2019 - R
Machine Learning in R
machine-learning neural-network clustering svm texture regression collaborative-filtering feature-extraction pca support-vector-machine principal-component-analysis anomaly-detection local-binary-patterns deep-neural-ne
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Feb 20, 2019 - R
MultiMlearn - Estimation of individualized treatment rules using matched learning (M-learning), under the setting of multicategory treatments.
machine-learning support-vector-machine electronic-health-record precision-medicine individualized-treatment-rules
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Aug 5, 2021 - R
This project aims to analyze the heart failure dataset to build a classifier that identifies the most important factors and allows predicting death from heart failure.
random-forest supervised-learning classification support-vector-machine unsupervised-learning principal-component-analysis k-nearest-neighbours boosting shapiro-wilk adaptive-boosting-algorithm stochastic-gradient classification-regression
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Jul 14, 2022 - R
Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.
r statistics random-forest clustering cross-validation variable-importance classification support-vector-machine predictive-analytics data-cleaning decision-tree model-evaluation hierarchical-clustering model-interpretation bootstrap-sampling agglomerative-algorithm silhouette-analysis
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Apr 17, 2024 - R
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