Sikolya-Rakonczai Helga

Sikolya-Rakonczai Helga

Sikolya-Rakonczai Helga
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Cheat Sheet: Data Visualization with R – Data Science Central

RStudio has many interesting cheat sheets about R. Other cheat sheets about Data Science, Python and R can be found here.

This tutorial explains about random forest in simple term and how it works with examples. It includes step by step guide of running rando...

This tutorial explains about random forest in simple term and how it works with examples. It includes step by step guide of running rando.

Feature selection: All-relevant selection with the Boruta package

Feature selection is an important step for practical commercial data mining which is often characterised by data sets with far too many variables for model

Machine Learning in R for beginners

Building machine learning and statistical models often requires pre- and post-transformation of the input and/or response variables, prior to training (or

Time Series Analysis with R

Hi all, Hope you are familiar with the time series function or you may have heard of time series analysis. In R there is a different R library for time series data analysis [TSDL].

This is a continuation of part 1 of the Learn R By Intensive Practice Series. In this part, we step up the game and learn a number of key concepts such as lists, sampling, data frames etc. At the end of each video, you will be solving a practice challenge based on what you learnt […]

Learn R by Intensive Practice is an introductory R course built especially for beginners who are completely new to R or even to basic programming.

R Programming from Johns Hopkins University. In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages…

courses from schools like Stanford and Yale - no application required. Build career skills in data science, computer science, business, and more.

15 Easy solutions to your data frame problems in R: The basics of Data Frames - The questions and solutions.

15 Easy Solutions To Your R Data Frame Problems! Tutorial by DataCamp

This course is aimed at people who are starting out or want to start out on a career in the field of Analytics and Data Science. It covers the concepts of Business Statistics and of Programming in R .

In this Data Science Analytics course student will learn the business statistics and of programming in R. Join career oriented Data Science Analytics now.

Beautiful interactive data viz using plotly in R and Python

This article describes how to use Plotly library in R & Python to create beautiful, interactive data visualizations. This includes charts & scatter plots