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 website to structured format which can be further used for analysis.

We will use a R package called **rvest** which was created by Hadley Wickham. This package simplifies the process of scraping web pages.…

Added by Deepanshu Bhalla on February 26, 2018 at 9:15am — No Comments

The following links describe a set of free SAS tutorials which help you to learn SAS programming online on your own. It includes tutorials for data exploration and manipulation, predictive modeling and some scenario based examples.

SAS (Statistical analysis system) is one of the most popular software for data analysis. It is widely used for various purposes such as data management, data mining, report writing, statistical analysis, business modeling, applications development and data…

ContinueAdded by Deepanshu Bhalla on June 27, 2017 at 9:00am — No Comments

R language is the world's most widely used programming language for statistical analysis, predictive modeling and data science. It's popularity is claimed in many recent surveys and studies. R programming language is getting powerful day by day as number of supported packages grows. Some of big IT companies such as Microsoft and IBM have also started developing packages on R and offering enterprise version of R.

**Table of…**

Added by Deepanshu Bhalla on June 12, 2017 at 12:30am — No Comments

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 private and public agency has started tracking data and collecting information of various attributes. It results to access to too many predictors for a predictive model. But not every variable is important for prediction of a particular task. Hence it is essential to…

ContinueAdded by Deepanshu Bhalla on June 1, 2017 at 9:00am — 1 Comment

It's a complete tutorial on data wrangling or manipulation with R. This tutorial covers one of the most powerful R package for data wrangling i.e. dplyr. This package was written by the most popular R programmer Hadley Wickham who has written many useful R packages such as ggplot2, tidyr etc. It's one of the most popular R package as of date. This post includes several examples and tips of how to use dply package for cleaning and transforming data.…

ContinueAdded by Deepanshu Bhalla on February 6, 2017 at 8:00am — No Comments

This tutorial describes theory and practical application of Support Vector Machines (SVM) with R code. It's a popular supervised learning algorithm (i.e. classify or predict target variable). It works both for classification and regression problems. It's one of the sought-after machine learning algorithm that is widely used in data science competitions.

**What is Support Vector Machine?**

The main idea of support vector machine is to…

Added by Deepanshu Bhalla on January 16, 2017 at 7:30am — No Comments

R is a free programming language for data analysis, statistical modeling and visualization. It is one of the most popular tool in predictive modeling world. Its popularity is getting better day by day. In 2016 data science salary survey conducted by O'Reilly, R was ranked second in a category of programming languages for data science (SQL ranked first). In another popular KDnuggets Analytics software survey poll, R scored top rank with 49% vote. These survey polls answers the question about…

ContinueAdded by Deepanshu Bhalla on January 1, 2017 at 9:30am — No Comments

- R (4)
- Programming (1)
- Science (1)
- Selection (1)
- Variable (1)
- sas (1)
- webscraping (1)

© 2019 Data Science Central ® Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

- Book: Statistics -- New Foundations, Toolbox, and Machine Learning Recipes
- Book: Classification and Regression In a Weekend - With Python
- Book: Applied Stochastic Processes
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- How to Automatically Determine the Number of Clusters in your Data
- New Machine Learning Cheat Sheet | Old one
- Confidence Intervals Without Pain - With Resampling
- Advanced Machine Learning with Basic Excel
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Fast Combinatorial Feature Selection

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

**Archives:** 2008-2014 |
2015-2016 |
2017-2019 |
Book 1 |
Book 2 |
More

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions