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Shreya Gupta posted a blog post### R Descriptive Statistics - learn to obtain Summary Statistics in R

R Descriptive Statistics/Summary StatisticsAll the data which is gathered for any analysis is useful when it is properly represented so that it is easily understandable by everyone and helps in proper decision making. Thus after doing an analysis of data, making summary plays a vital role. This is known as summarizing the data.We can summarize the data in several ways either by text manner or by pictorial…See More

Jun 10, 2018

Shreya Gupta's blog post was featured### R Descriptive Statistics - learn to obtain Summary Statistics in R

R Descriptive Statistics/Summary StatisticsAll the data which is gathered for any analysis is useful when it is properly represented so that it is easily understandable by everyone and helps in proper decision making. Thus after doing an analysis of data, making summary plays a vital role. This is known as summarizing the data.We can summarize the data in several ways either by text manner or by pictorial…See More

Jun 10, 2018

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Posted on August 23, 2017 at 7:00pm 1 Comment 2 Likes

One of the most intuitive and popular methods of data mining that provides explicit rules for classification and copes well with heterogeneous data, missing data, and nonlinear effects is decision tree. It predicts the target value of an item by mapping observations about the item.

You can perform either classification or regression tasks here. For example, identifying fraudulent…

ContinuePosted on August 22, 2017 at 9:00pm 0 Comments 1 Like

Nonlinear Regression and Generalized Linear Models:

Regression is nonlinear when at least one of its parameters appears nonlinearly. It commonly sorts and analyzes data of various industries like retail and banking sectors. It also helps to draw conclusions and predict future trends on the basis of user’s activities on the net.

The nonlinear regression analysis is the process of building a…

Posted on August 20, 2017 at 9:00pm 0 Comments 1 Like

Regression analysis is a statistical tool to determine relationships between different types of variables. Variables that remain unaffected by changes made in other variables are known as independent variables, also known as a predictor or explanatory variables while those that are affected are known as dependent variables also known as the response variable.

Linear regression is a statistical procedure…

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