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machine-learning-algorithms

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

Here are 256 public repositories matching this topic...

business-science / modeltime

Modeltime unlocks time series forecast models and machine learning in one framework

data-science machine-learning time timeseries deep-learning time-series machine-learning-algorithms forecasting r-package arima prophet ets time-series-analysis timeseries-forecasting tidymodeling tidymodels tbats modeltime

Updated Oct 22, 2024
R

r3fang / SnapATAC

Analysis Pipeline for Single Cell ATAC-seq

machine-learning-algorithms sequencing epigenetics bioinformatics-pipeline single-cell-analysis single-cell-atac-seq

Updated Apr 27, 2023
R

tlverse / hal9001

🤠 📿 The Highly Adaptive Lasso

machine-learning-algorithms cross-validation nonparametric-regression lasso-regression

Updated Nov 19, 2024
R

PacktPublishing / R-Data-Structures-and-Algorithms

R Data Structures and Algorithms, published by Packt

machine-learning algorithm r datastructures machine-learning-algorithms algorithms-datastructures

Updated Jan 30, 2023
R

ledell / subsemble

subsemble R package for ensemble learning on subsets of data

machine-learning r big-data machine-learning-algorithms cross-validation ensemble ensemble-learning

Updated Jan 21, 2022
R

cattystats / Anomaly_Detection

anomaly detection with anomalize and Google Trends data

data-science machine-learning r machine-learning-algorithms datascience machinelearning anomalydetection anomaly-detection

Updated Oct 15, 2019
R

Rpita623 / Movie-Recommendation-System-using-R_Project

Movie Recommendation System: Project using R and Machine learning

Updated Nov 4, 2021
R

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

meganstiles / Seating_Chart

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

genetic-algorithm machine-learning-algorithms wedding

Updated Nov 15, 2017
R

parulnith / A-guide-to-Machine-Learning-in-R

A series of articles to get started into the field of Machine Learning with R language

machine-learning r statistics linear-regression machine-learning-algorithms datascience logistic-regression

Updated Mar 4, 2019
R

Rpita623 / Detecting-Credit-Card-Fraud

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

Updated Nov 4, 2021
R

andremonaco / cheapml

Machine Learning algorithms coded from scratch

data-science machine-learning random-forest machine-learning-algorithms regression from-scratch gradient-boosting regression-trees demystify

Updated Dec 16, 2020
R

hoxo-m / densratio

An R Package for Density Ratio Estimation

machine-learning statistics machine-learning-algorithms machine-learning-library r-language r-package anomalydetection

Updated Oct 30, 2023
R

VarshaDolas / Intention-Mining-

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

information-retrieval machine-learning-algorithms bayes

Updated Jul 30, 2018
R

NewGround-LLC / psistats

Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.

machine-learning r deep-neural-networks tensorflow machine-learning-algorithms dropout machine-learning-analysis

Updated May 29, 2017
R

pravinknr / DataScience_R_Codes

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

Updated Aug 21, 2023
R

haghish / shapley

Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

Updated Dec 6, 2024
R

AnthonyRaborn / ShortForm

Algorithms for creating short forms based on psychometric principles.

r machine-learning-algorithms simulated-annealing ant-colony-optimization tabu-search rpackage shortform

Updated Dec 3, 2024
R

mehdimo / K-Means

An implementation of K-Means algorithm in R

clustering machine-learning-algorithms kmeans kmeans-algorithm

Updated Dec 26, 2013
R

chinilin / SOC

Large-scale digital mapping of soil organic carbon content by using machine learning algorithms

machine-learning-algorithms caret soil-properties

Updated Sep 23, 2018
R

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