Shreya Gupta
• Female
• India

# Shreya Gupta's Page

## Latest Activity

Frank Raulf liked Shreya Gupta's blog post Importing Data in R
Feb 7
Shreya Gupta posted a blog post

### R Decision Trees - A Tutorial to Tree Based Modeling in R

What is R Decision Trees?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 transactions using credit cards would be a classification task while forecasting prices of…See More
Sep 5, 2019

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## Shreya Gupta's Blog

### R Descriptive Statistics - learn to obtain Summary Statistics in R

Posted on June 1, 2018 at 11:30pm

### R Decision Trees - A Tutorial to Tree Based Modeling in R

Posted on August 23, 2017 at 7:00pm

## What is R Decision Trees?

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…

Continue

### R Nonlinear Regression Analysis

Posted on August 22, 2017 at 9:00pm

## R Nonlinear Regression Analysis

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…

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### R Linear Regression

Posted on August 20, 2017 at 9:00pm

## Basics of Linear Regression

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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