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
#
machinelearning
Here are 73 public repositories matching this topic...
Movie Recommendation System: Project using R and Machine learning
recommendations data-science machine-learning r rstudio machine-learning-algorithms data-visualization datascience recommendation-system data-analysis recommendation-engine machinelearning recommender-system recommendation data-preprocessing recommender-systems movie-recommendation movielens-dataset rprogramming movie-recommendation-system
- Updated
Nov 4, 2021 - R
A Unified Framework for Random Forest Prediction Error Estimation
machine-learning r statistics random-forest inference prediction randomforest machinelearning intervals
- Updated
Aug 10, 2021 - R
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
data-science data machine-learning r machine-learning-algorithms data-visualization datascience r-markdown gbm data-analysis artificial-neural-networks logistic-regression machinelearning r-language data-manipulation decision-trees data-exploration data-modeling r-programming roc-curves
- Updated
Nov 4, 2021 - R
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
nlp machine-learning data-mining thesis rstudio reporting corpus linguistics machinelearning tf-idf masters textmining bagofwords machine-learning-projects textanalytics machine-learning-project tidy-data-framework
- Updated
Jul 23, 2020 - R
A web-based platform for annotating short-text documents to be used in applied text-mining based research.
text-mining environment text-classification annoyance machinelearning annotator annotation-tool acoustics supervised-machine-learning
- Updated
Jan 28, 2021 - R
Parallel Grid Search benchmark - H2O Machine Learning
- Updated
Jan 14, 2020 - R
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
machine-learning algorithm ai h2o rstats ensemble ensemble-learning machinelearning automl stacking h2oai automated-machine-learning stacked-ensembles metalearning rstats-package automl-algorithms stack-ensemble
- Updated
Mar 24, 2025 - R
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
real-estate data-science machine-learning exploratory-data-analysis machine-learning-algorithms insights variable-importance prediction feature-selection feature-extraction supervised-learning machinelearning feature-engineering prediction-algorithm prediction-model supervised-machine-learning real-estate-analysis
- Updated
May 13, 2023 - R
Machine Learning with uncertainty quantification and interpretability
machine-learning machine-learning-algorithms statistical-learning machinelearning uncertainty-quantification conformal-prediction
- Updated
Mar 12, 2025 - R
This repository contains the implementation of the research paper tVelloso, E., Bulling, A., Gellersen, H., Ugulino, W. and Fuks, H., 2013, March. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference (pp. 116-123).
machine-learning-algorithms machinelearning research-project machinelearning-r rproject datascience-machinelearning
- Updated
Oct 9, 2020 - R
The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.
python r neural-network insurance random-forest svm regression logistic-regression machinelearning pruning kmeans decision-trees boruta unsupervised-learning predictive-analytics clustering-algorithm machinelearning-python propensity-modelling customerprofile
- Updated
May 23, 2021 - R
Scripts and functions for a monitoring of air temperature in Antarctica using MODIS data and machine learning
- Updated
May 19, 2019 - R
R script for "E5S_metabolomics_workflow" computation
- Updated
Apr 24, 2023 - R
AWS Machine Learning Client
- Updated
Jan 12, 2020 - R
Binary spam classifier in e-mails. It is based on the classification of text using a Naive Bayesian Classifier. The algorithm was written in R.
- Updated
Apr 30, 2017 - R
An R package for determining groups of curves
clustering regression data-analytics survival-analysis machinelearning number-of-clusters nonparametric-statistics multiple-curves
- Updated
Nov 8, 2024 - R
Resample, parameter tuning, meta-learning, clustering, and mining algorithms for the purpose of data mining and machine learning.
neural-network classification machinelearning decision-tree datamining parameter-tuning meta-learning vote-meta-learner
- Updated
Aug 8, 2018 - R
Miscellaneous statistical/machine learning stuff
- Updated
Apr 18, 2025 - R
- Followers
- 82.5k followers
- Wikipedia
- Wikipedia