fbpx

  • Warning: Invalid argument supplied for foreach() in /home/odsc1733/opendatascience.com/wp-includes/nav-menu.php on line 95

    Warning: array_merge(): Argument #2 is not an array in /home/odsc1733/opendatascience.com/wp-includes/nav-menu.php on line 102
R
Guide to R and Python in a Single Jupyter Notebook

Guide to R and Python in a Single Jupyter Notebook

PythonRTools & Languagesjupyterposted by Matthew Stewart March 6, 2020

Why pick one when you can use both at the same time? R is primarily used for statistical analysis, while Python provides a more general approach to data science. R and Python are object-oriented towards data science for programming language. Learning both is an ideal solution. Python is a... Read more
PI and Simulation Art in R

PI and Simulation Art in R

RTools & LanguagesUncategorizedposted by Steve Miller February 25, 2020

I spent the better part of an afternoon last week perusing a set of old flash drives I’d made years ago for my monthly notebook backups. One that especially caught my attention had a folder of R scripts, probably at least 15 years old — harking back to my... Read more
Beginner’s Guide to K-Nearest Neighbors in R: from Zero to Hero

Beginner’s Guide to K-Nearest Neighbors in R: from Zero to Hero

Machine LearningModelingRTools & Languagesk-nearest neighborsposted by Leihua Ye February 10, 2020

In the world of Machine Learning, I find the K-Nearest Neighbors (KNN) classifier makes the most intuitive sense and easily accessible to beginners even without introducing any math notations. To decide the label of an observation, we look at its neighbors and assign the neighbors’ label to the observation... Read more
An Efficient Way to Install and Load R Packages

An Efficient Way to Install and Load R Packages

RTools & Languagesposted by Antoine Soetewey February 7, 2020

Unlike other programs, only fundamental functionalities come by default with R. You will thus often need to install some “extensions” to perform the analyses you want. These extensions which are are collections of functions and datasets developed and published by R users are called packages. They extend existing base R... Read more
15+ Resources to Get Started with R

15+ Resources to Get Started with R

Career InsightsFeatured PostRTools & Languagesposted by Elizabeth Wallace, ODSC January 3, 2020

R is the second most sought after language in data science behind Python, so gaining mastery of R is a prerequisite to a thriving career in the field. Whether you’re an experienced developer or a newbie considering a career move, here are some excellent resources so you can get... Read more
Quantifying R Package Dependency Risk

Quantifying R Package Dependency Risk

RTools & Languagesdependency riskposted by John Mount December 26, 2019

We recently commented on excess package dependencies as representing risk in the R package ecosystem. The question remains: how much risk? Is low dependency a mere talisman, or is there evidence it is a good practice (or at least correlates with other good practices)? [Related Article: Data-Driven Exploration of the R User Community... Read more
Machine Learning 101: Predicting Drug Use Using Logistic Regression In R

Machine Learning 101: Predicting Drug Use Using Logistic Regression In R

Machine LearningModelingRTools & LanguagesLogistic Regressionposted by Leihua Ye December 24, 2019

Executive Summary Generalized Linear Models (GLM) Three types of link function: Logit, Probit, and Complementary log-log (cloglog) Building a logistic regression to predict drug use and compare these three types of GLM In Machine Learning 101 courses, stats professors introduce GLM right after linear regression as the next stepping... Read more
Image Compression In 10 Lines of R Code

Image Compression In 10 Lines of R Code

ModelingRTools & Languagesimage compressingposted by Leihua Ye December 9, 2019

Principal Component Analysis (PCA) is a powerful Machine Learning tool. As an unsupervised learning technique, it excels in dimension reduction and feature extraction However, do you know we can use PCA to compress images? In this post, I’ll walk through the process and explain how PCA can compress images... Read more
A Quick Look Into Bootstrapping

A Quick Look Into Bootstrapping

Machine LearningModelingRStatisticsTools & LanguagesbootstrappingStatisticsposted by Leihua Ye December 3, 2019

Executive Summary As a resampling method, bootstrapping allows us to generate statistical inferences about the population from a single sample. Learn to bootstrap in R. Bootstrapping lies the foundation for several machine learning methods (e.g., Bagging. I’ll explain Bagging in a follow-up post). [Related Article: Discovering 135 Nights of... Read more
Balancing Interpretability and Predictive Power with Cubist Models in R

Balancing Interpretability and Predictive Power with Cubist Models in R

Machine LearningModelingRTools & LanguagesCubist Modelsposted by Jacey Heuer November 18, 2019

Machine learning models are powerful tools that do well in their purpose of prediction. In many business applications, the power of these models is quite beneficial. With any application of a machine learning model, the process to choosing which model involves determining the model that performs best across a... Read more
Copyright © 2019 Open Data Science. All rights reserved.