support-vector-regression

Here are 8 public repositories matching this topic...

dshah98 / Machine_Learning_with_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

Updated May 23, 2021
R

RichardSaldanha07 / Data-Mining-and-Machine-Learning-Analysis-on-three-different-datasets-from-US-Region

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Implementing different flavors of Classification and Regression Machine Learning Algorithms on different datasets in the US region.

r machine-learning-algorithms naive-bayes-classification logistic-regression-algorithm support-vector-regression random-forest-classifier r-studio multiple-linear-regression

Updated Apr 14, 2021
R

NarmadhaMM / Bayesian-ML-for-occupancy-data

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Includes the R code and the supporting materials for our paper "Using machine learning to identify nontraditional spatial dependence in occupancy data"

machine-learning-algorithms bayesian spatio-temporal support-vector-regression regression-trees occupancy-modeling bayesian-hierarchical-models

Updated Aug 31, 2020
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gt0410 / Predicting_ViolentCrime_Data

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Exploratory Data Analysis and Feature Engineering on Violent Crime dataset from Kaggle and performing regression analysis to predict the crime rate per 100k population. This project compared the performances of Linear Regression, PLS, regularized models like Ridge regression, Lasso and Elastic Net models, and SVR models.

r feature-engineering ridge-regression elasticnet lasso-regression support-vector-regression regression-analysis

Updated Jun 8, 2020
R

MNoorFawi / nonlinear-regression

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solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR).

machine-learning generalized-additive-models support-vector-regression nonlinear-regression