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When and why to standardize a variable

This tutorial explains when, why and how to standardize a variable in statistical modeling. Variable Standardization is one of the most important concept of predictive modeling. It is a preprocessing...

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How to Integrate R with PHP

This tutorial explains how to integrate R with PHP.Online reporting tools have gained popularity in recent years. There is a growing demand to implement advanced analytics in these tools. Use of...

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Check number of observations in SAS dataset

This post explains how to determine the number of observations in a SAS dataset. Most of the times we need to check whether a SAS dataset is empty or not. In macro, we generally tell SAS to go to the...

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Python Tutorial for Beginners: Learn in 3 Days

This tutorial helps you to get started with Python. It's a step by step practical guide to learn Python by examples. Python is an open source language and it is widely used as a high-level programming...

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Feature Selection : Select Important Variables with Boruta Package

This article explains how to select important variables using boruta package in R. Variable Selection is an important step in a predictive modeling project. It is also called 'Feature Selection'. Every...

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SAS, R & Predictive Modeling Training in Delhi NCR

SAS Training in Delhi NCRWe are starting our first classroom training batch from July 15, 2017 in Delhi NCR (Delhi / Gurgaon). We are offering courses on SAS , R and Predictive Modeling.Practical SAS...

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Online SAS, R & Predictive Modeling Training

First Online Training BatchWe are starting our first Instructor-led online training batch from July 15, 2017. We are offering courses on SAS , R and Predictive Modeling. In this program you will get an...

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Python Data Structures

This post explains the data structures used in Python. It is essential to understand the data structures in a programming language. In python, there are many data structures available. They are as...

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Predictive Modeling using SAS & R Online Training

First Online Training BatchThe next Instructor-led online training batch will commence on October 8, 2017. We are offering courses on SAS , R and Predictive Modeling. In this program you will get an...

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K Nearest Neighbor : Step by Step Tutorial

In this article, we will cover how K-nearest neighbor (KNN) algorithm works and how to run k-nearest neighbor in R.  It is one of the most widely used algorithm for classification problems.K-Nearest...

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Pandas Python Tutorial - Learn by Example

Pandas being one of the most popular package in Python is widely used for data manipulation. It is a very powerful and versatile package which makes data cleaning and wrangling much easier and...

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Predictive Modeling using SAS & R Online Training

First Online Training BatchThe next Instructor-led online training batch will commence on February 10, 2018. We are offering courses on SAS , R and Predictive Modeling. In this program you will get an...

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NumPy Tutorial : Step by Step Guide

NumPy (acronym for 'Numerical Python' or 'Numeric Python') is one of the most essential package for speedy mathematical computation on arrays and matrices in Python. It is also quite useful while...

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Data Visualization in R using ggplot2

For the purpose of data visualization, R offers various methods through inbuilt graphics and powerful packages such as ggolot2. Former helps in creating simple graphs while latter assists in creating...

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Linear Regression in Python

Linear Regression is a supervised statistical technique where we try to estimate the dependent variable with a given set of independent variables. We assume the relationship to be linear and our...

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SAS Date Formats and Informats

This tutorial describes the usage of SAS Date formats and informats. It includes practical real-world data problems related to SAS formats.What are Formats and Informats?Informats is used to tell SAS...

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Tutorial : Build Webapp in R using Shiny

In this tutorial, we will cover how to build shiny app from scratch in R. It includes various examples which would help you to get familiar with shiny package.Shiny is a R package developed by RStudio...

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Web Scraping Matrimonial Website with R

In this tutorial, we will cover how to extract information from a matrimonial website using R.  We will do web scraping which is a process of converting data available in unstructured format on the...

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15 Types of Regression you should know

Regression techniques are one of the most popular statistical techniques used for predictive modeling and data mining tasks. On average, analytics professionals know only 2-3 types of regression which...

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Run Python from R

This article explains how to call or run python from R. Both the tools have its own advantages and disadvantages. It's always a good idea to use the best packages and functions from both the tools and...

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