R Program to add a new column in a given data frame.

Hits: 85 Telco Churn Modelling using KNN algorithm in R In this Learn by Coding example, we will learn how to predict telco churn using KNN in R. This example is useful for beginners who has excel background and wish to learn Python programming as well as R programming. Free Machine Learning & Data …

Hits: 184 CLUSTER ANALYSIS IN R SIMPLIFIED AND ENHANCED In R software, standard clustering methods (partitioning and hierarchical clustering) can be computed using the R packages stats and cluster. However the workflow, generally, requires multiple steps and multiple lines of R codes. This article describes some easy-to-use wrapper functions, in the factoextra R package, for simplifying and improving cluster analysis in …

Hits: 62 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Random Forest In the random forest approach, a large number of decision trees are created. Every observation is fed into every decision tree. The most common outcome for each observation is used as the final output. A new observation is …

Hits: 29 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Decision Tree Decision tree is a graph to represent choices and their results in form of a tree. The nodes in the graph represent an event or choice and the edges of the graph represent the decision rules or conditions. …

Hits: 22 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Nonlinear Least Square When modeling real world data for regression analysis, we observe that it is rarely the case that the equation of the model is a linear equation giving a linear graph. Most of the time, the equation of …

Hits: 33 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Time Series Analysis Time series is a series of data points in which each data point is associated with a timestamp. A simple example is the price of a stock in the stock market at different points of time on …

Hits: 21 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Analysis of Covariance We use Regression analysis to create models which describe the effect of variation in predictor variables on the response variable. Sometimes, if we have a categorical variable with values like Yes/No or Male/Female etc. The simple regression …

Hits: 19 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Binomial Distribution The binomial distribution model deals with finding the probability of success of an event which has only two possible outcomes in a series of experiments. For example, tossing of a coin always gives a head or a tail. …

Hits: 18 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Normal Distribution In a random collection of data from independent sources, it is generally observed that the distribution of data is normal. Which means, on plotting a graph with the value of the variable in the horizontal axis and the …

Hits: 11 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Logistic Regression The Logistic Regression is a regression model in which the response variable (dependent variable) has categorical values such as True/False or 0/1. It actually measures the probability of a binary response as the value of response variable based …

Hits: 37 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Multiple Regression Multiple regression is an extension of linear regression into relationship between more than two variables. In simple linear relation we have one predictor and one response variable, but in multiple regression we have more than one predictor variable …

Hits: 9 (R Tutorials for Citizen Data Scientist) Statistics with R for Business Analysts – Linear Regression Regression analysis is a very widely used statistical tool to establish a relationship model between two variables. One of these variable is called predictor variable whose value is gathered through experiments. The other variable is called response variable …

Hits: 842 In this Applied Machine Learning & Data Science Coding Recipe, the reader will find the practical use of applied machine learning and data science in Python and R programming. Data Science and Machine Learning for Beginners in R – Tensorflow and Keras with Dropout layers using Mushroom Dataset. What should I learn from …

Hits: 258 In this Applied Machine Learning & Data Science Coding Recipe, the reader will find the practical use of applied machine learning and data science in Python and R programming. Data Science and Machine Learning for Beginners in R – Keras and Tensorflow using Mushroom Dataset. What should I learn from this Applied Machine …