Excel is often poorly regarded as a platform for regression analysis. The regression add-in in its Analysis Toolpak has not changed since it was introduced in 1995, and it was a flawed design even back then.  (See this link for a discussion.)    That’s unfortunate, because an Excel file can be a very good place in which to build regression models, compare and refine them, create…

The Ultimate R Cheat Sheet simply put makes it easy to learn R. The Ultimate R Cheat Sheet saves you time by providing hyperlinks to the documentation and package-level cheat sheets for the most important packages in R. The latest update doubles its ultimateness by providing a second page that includes Special Topics:

• Time Series, Forecasting, and Financial…

The Ultimate R Cheatsheet

We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developing at Business Science University). The system is revolutionary for a number of reasons (we’ll get to these in a minute). The cornerstone of our teaching process is the Data Science with R Workflow that was originally taught by Hadley Wickham and Garrett Grolemund in the excellent…

Matching and merging 2 files is task I find myself doing all of the time. Historically, I've used VLOOKUP in MS Excel and just worked around any limitations. Finally, I bit the bullet and wrote an R Function that does the trick faster, and with more flexibility. 

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Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.

But which one is better? And, more importantly, which one should you learn?

Both are widely used and are standard tools in the hands of every data scientist.

The answer may surprise you – because as a professional data scientist, you should be ready to deal with…

TensorFlow 1.x Deep Learning Cookbook

By Antonio Gulli, Amita Kapoor

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x

In this book, you will learn how to efficiently use TensorFlow, Google's open…

What is NLP?

Natural Language Processing (NLP) can be simply defined as teaching an algorithm to read and analyze human (natural) languages just like the human brain does, but a lot faster than a human could, more accurately and on very large amounts of data.

It is a great skill to have if you are an aspiring data scientist or data analyst because has…

Introduction

Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services   in SQLServer eliminates the need for data movement. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. Easily deploy your R/Python code with SQL stored procedures making them accessible in your…

R Deep Learning Essentials

By Joshua F. Wiley

Get everything you need to know to enter the world of deep learning when it comes to R with this book. Get started from the packages you need to have for your side,…

R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. 

Learn the fundamentals of data analysis in the second edition of Data Analysis with R, authored by data scientist…

R language is a free statistical computing environment; hence there are multiple ways/packages to achieve a particular statistical/quantitative output. I am going to discuss here a concise list of R packages that one can use for the modeling of financial risks and/or portfolio optimization with utmost efficiency and effectiveness. The intended audience for this article is financial market analysts interested in using R, and also for quantitatively inclined folks…

Cluster.OBeu v1.2.1 release on CRAN

We are very pleased to announce Cluster.OBeu v1.2.1 on CRAN!

Cluster.OBeu is used on OpenBudgets.eu data mininig tool platform with OpenCPU integration of R and JavaScript to estimate and return the necessary parameters for cluster…

We will use a R package called rvest which was created by Hadley Wickham. This package simplifies the process of scraping web pages.…

Today I've just faced one challenge...

I work on one project, and we need to decide which assets from this company will be visited initially.

As every project, we have limited budget, so we should find some variables to indicate a priority scale.

After some discussion, someone said: let's find the assets close to schools and hospitals. Those must be inspected firstly than others.

Everybody agreed with the voice, but how would be possible to map every school and…

What is R Shiny App?

R shiny app is an interactive web interface. R shiny app has two components user interface object (UI.R) and server function (Server .R). The two components are passed as arguments to the shiny app function that creates a shiny app object. For more info on how to build Shiny…

Today, data scientists are generally divided among two languages — some prefer R, some prefer Python. I will not try to explain in this article which one is…