The one-sample t-test is used to determine whether a sample comes from a population with a specific mean. This population mean is not always known, but is sometimes hypothesized. For example, imagine that an academic was conducting research on the relationship between exam performance and revision time, but wanted to first check whether his...

R: A good data scientist is the one who is a passionate coder along with an intelligent statistician and for statistics, there is nothing as good as R. Because of its power of statistics, R is also called as the golden child of data science. The data scientists skilled with R are being looked upon by the biggest brands like Facebook, New York...

You start by defining a problem. You start with something that you want to understand better or a question that you want to answer. You move on to collecting data to answer that question. Then you enter this loop at the bottom here, where you oscillate between understanding the data and exploring the data—so, making some assertion about the...

The demand for data scientists in every industry is growing substantially. For the development of every business, there is a need to assess the data you gather. And data scientists require both the right tools and perfect skill set to enable you to produce better results with your information. Based on the Forbes report, Data Science is the...

The article explains the essential difference between machine learning & deep learningComparison between machine learning & deep learning explained with examples Machine learning and deep learning in a rage! All of a sudden everyone is talking about them – irrespective of whether they understand the differences or not! Whether you...

What is R? Web scraping is an advanced task that not many people perform. Web scraping with R is, certainly, technical and advanced programming. An adequate understanding of R is essential for web scraping in this way. To start with, R is a language for statistical computing and graphics. Statisticians and data miners use R a lot due to its...

R Programming Tutorial is designed for both beginners and professionals. Our tutorial provides all the basic and advanced concepts of data analysis and visualization.R is a software environment which is used to analyze statistical information and graphical representation. R allows us to do modular programming using functions.Our R tutorial...

Spark SQL is one of the main components of the Apache Spark framework. It is mainly used for structured data processing. It provides various Application Programming Interfaces (APIs) in Python, Java, Scala, and R. Spark SQL integrates relational data processing with the functional programming API of Spark. Spark SQL provides a programming...

The concept of Machine Learning, Artificial Intelligence (AI), Big Data has been around for a while. But the ability to apply algorithms and mathematical calculations to big data is gathering momentum only recently.     In this article we will discuss the importance of Machine Learning and why every Data Scientist must...

Let us discuss some of the major difference between Data Mining and Machine Learning: [contact-form-7 id="76417" title="Subscriber Demo Form"] To implement data mining techniques, it used two-component first one is the database and the second one is machine learning. The Database offers data management techniques while machine learning...