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.
☆33Apr 7, 2018Updated 8 years ago
Alternatives and similar repositories for Statistical-Learning-using-R
Users that are interested in Statistical-Learning-using-R are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An Image Recognition Project made in R using Keras and Tensorflow which classifies a set of images amongst 10 classes☆10Apr 8, 2018Updated 8 years ago
- This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded fro…☆47Nov 28, 2018Updated 7 years ago
- An R package with some convenience functions for graphing and data cleaning☆12Oct 7, 2025Updated 10 months ago
- Snapshots for unit tests using the tinytest framework for `R`. Includes expectations to test base `R` and `ggplot2` plots as well as cons…☆18Jun 1, 2026Updated 2 months ago
- Implements the algorithm form "Sparse logistic principal components analysis for binary data"☆14Dec 11, 2013Updated 12 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data☆13Aug 7, 2026Updated last week
- Quickly transform data.frames into onehot encoded matrices☆11Apr 11, 2019Updated 7 years ago
- Tutorial Apps for Learning R☆18Dec 28, 2017Updated 8 years ago
- General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction; Evaluation of Failure-Time Surrogate Endpoints. The R pa…☆11May 6, 2024Updated 2 years ago
- This is the main hub for those interested in design in the OpenMined community☆10Oct 8, 2024Updated last year
- I analyze the interplay of three U.S. time series: unemployment, inflation and gross domestic product. The first cleans the data and inve…☆10Nov 1, 2019Updated 6 years ago
- Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST datase…☆25Jun 19, 2017Updated 9 years ago
- Shiny dashboard for RLadies+ chapter metrics☆23Oct 12, 2019Updated 6 years ago
- Convert HTML to R☆38Feb 2, 2018Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net☆10Nov 9, 2024Updated last year
- This repository contains useful tools to maximise your day to day productivity using AI and latest tools available in the market☆40Jul 5, 2024Updated 2 years ago
- Bayesian Linear Mixed Effect Models☆46Jan 5, 2026Updated 7 months ago
- R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression …☆14Oct 22, 2024Updated last year
- These R codes replicate the models and the experiments discussed in Canelli, Fontana, Realfonzo and Veronese Passarella (2021, 2022, 2024…☆11Jul 6, 2026Updated last month
- A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predict…☆50Nov 28, 2020Updated 5 years ago
- R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the …☆11Nov 22, 2019Updated 6 years ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆21Feb 17, 2023Updated 3 years ago
- Comfortable search for R packages on CRAN, either directly from the R console or with an R Studio add-in☆42Oct 20, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆17Oct 14, 2025Updated 10 months ago
- R package to import/load packages or functions the 'Python' way☆17Sep 27, 2017Updated 8 years ago
- An R package for tidyverse-friendly causal inference☆10Aug 2, 2019Updated 7 years ago
- 现代应用统计 Modern Applied Statistics with R, INLA and Stan☆26May 12, 2026Updated 3 months ago
- Bootstrap icons for Shiny and R Markdown☆17Dec 30, 2025Updated 7 months ago
- program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the top…☆38May 26, 2019Updated 7 years ago
- A R/shiny extension for forking expensive calculations☆15Jun 11, 2021Updated 5 years ago
- Density, probability, quantile and random number generation functions for the truncated normal distribution.☆27Jun 29, 2023Updated 3 years ago
- A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio☆18May 4, 2018Updated 8 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- R bindings to html-tidy C interface☆14Aug 15, 2022Updated 3 years ago
- Opinionated Devops for R Data Products Strictly Without Magic☆14Jan 20, 2025Updated last year
- R client to the PIP API☆22Jun 18, 2026Updated last month
- R data products: Reports, Presentations, Apps, and API's☆20Nov 12, 2021Updated 4 years ago
- pip install opencv-contrib-python☆12Dec 8, 2022Updated 3 years ago
- Recurrent Event Data Analysis☆18Sep 4, 2025Updated 11 months ago
- 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions☆13Jul 21, 2024Updated 2 years ago