Introduction to machine learning with TensorFlow! What is TensorFlow? The Google Brain team created TensorFlow, an open-source library. It was designed for activities that need a lot of numerical computations. TensorFlow was designed specific...

The Google Brain team created TensorFlow, an open-source library. It was designed for activities that need a lot of numerical computations. TensorFlow was designed specifically for machine learning and deep learning networks. TensorFlow ran faster than python code thanks to the use of C/C++ as a backend. The post ...

Hey: we are sharing some twenty open, free R notebooks to learn Data Science in R here! Our big educational gig is back: DATA SCIENCE SESSIONS VOL. 1 :: 2021/22, a 24 weeks, intense, introductory Data Science course in R will begin in October 2021. The course material is GPLv2 licensed, which means that you […]

Decorators have been made quite popular by Python but, did you know they also exist in R?Photo by Lenny Kuhne on UnsplashDecorators are typically used to extend the behaviour of a function in an elegant and minimally invasive way. Graphically, we can t...

Take the first R steps and enhance your data science toolkit with us on October 20th! Would you like to discover the basics of R programming and get solid foundations for future learning? Even if you are an absolute beginner, the workshop “R basics ...

Error in character string is not in a standard unambiguous format is described in this article. Let us take an example. date

Photo by Mick Fournier / HBI Producers of Fine Orchids This post describes some of the improvements contained in the RStudio update 2021.09.0, code-named Ghost Orchid: Calendar Versioning Improved Usability When R is Busy Logging Changes High DPI Ret...

This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast walks through how to build, tune, and evaluate a multiclass predictive model ...

PCA means Principal Component Analysis. PCA is a multivariate technique that is used to reduce the dimension of a data set. More precisely, PCA is concerned with explaining the variance-covariance structure through a few linear combinations of the original variables.… The post Principal Component Analysis (PCA) using R appeared first ...

Error in as.Date.numeric(13131) : ‘origin’ must be supplied, This article will show you how to handle the error message in as. Date.numeric(X). Approach 1: Error in as.Date.numeric(13131) : ‘origin’ must be supplied This ...

calmcode.io is an e-learning platform that I really really really recommend to programmers and data scientists: It is free. It involves open source tools. It uses bite-sized tutorial videos. It explains tools clearly. It explains everything calmly. There’s tons of content about computer programming, data science, and personal ...

Quantargo Workspace Now Out of Beta We’re thrilled to announce that Quantargo Workspace is now out of Beta and generally available! Quantargo Workspace lets you easily create and manage data science projects using R and Python, with advanced features ...

Last week, a paper started making the Twitter rounds. Selective attention in hypothesis-driven data analysis by Professors Itai Yanai and Martin Lerche looked into whether providing specific hypotheses prevented students from fully exploring a...