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Data Science

Welcome to our journal. Here you can find the latest company news and business articles

USE OF BASE SAS CERTIFICATION
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Data Science

USE OF BASE SAS CERTIFICATION

When you intend on getting a job or changing jobs, ask yourself: "What would a hiring manager look for in an ideal candidate? Is it just a prerequisite for education?'. It is certainly not only schooling, but also specific skills that is essential to a recruiter. In the event of lateral recruiting, skills become even more relevant. Therefore, certifications in your field are often relevant and read more..
SAS IS GAINING PROMINENCE IN HEALTHCARE -1
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Data Science

SAS IS GAINING PROMINENCE IN HEALTHCARE -1

SAS is gaining prominence in healthcare: -When the transformation of healthcare into the digital era moves forward, there are resources that play a vital role in promoting the study of the production of the new wave of data. Statistical analysis systems (SAS) are one of the devices that has far-reaching benefits for the healthcare sector, from insurers to physicians read more..
How Telecom Industry is Shaping up for the next generation using Data Science
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Data Science

How Telecom Industry is Shaping up for the next generation using Data Science

Telecom industry, probably, would be one of the highest, data producing industry in today's world. The amount of unstructured data produced and captured by the telecom service providers are humungous. And the size of data will keep increasing with time, as the number of individuals not using the services of telecom industry, directly or indirectly, is diminishing by the day.Also, va read more..
Market Segmentation Techniques & Strategies
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Data Science

Market Segmentation Techniques & Strategies

Market segmentation is the process of dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers (known as segments) based on some type of shared characteristics. In dividing or segmenting markets, researchers typically look for common characteristics such as shared needs, common interests, similar li read more..
Random Forest Classification using lending club data
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Data Science

Random Forest Classification using lending club data

1. What is Lending Club?2. Data used3. What is Random Forest Classification4. Evaluation1. What is Lending Club?Lending club is a peer to peer lending company which is headquartered in San Francisco.The company connects people who need money (Borrowers) with people who have money (Investors) through its online marketplace. Investo read more..
Classification of Amazon Articles using NLP techniques
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Data Science

Classification of Amazon Articles using NLP techniques

In this article, we discuss a state of the art NLP pipeline that enables the grouping of randomly selected articles from www.amazon.com into relevant topics. We use webhose.io for data ingestion, IBM Watson developer cloud for named entity recognition, MongoDB for storage and a Flask app to display the results.The following diagram depicts the various components of the NLP pipeline read more..
SUPERVISED LEARNING USING KNN 1
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Data Science

SUPERVISED LEARNING USING KNN 1

We have seen K-Means algorithm using R & Python before, now let me explain very basic classification algorithm with R. Briefly, I will introduce to K - Nearest Neighbour concept with various steps involved in it and how to implement those steps in R.K — NN algorithm:K-NN is one of the simplest supervised learning algorithm based on similarity functio read more..
K means Learning Algorithms Using R & Python
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Data Science

K means Learning Algorithms Using R & Python

We have seen Gradient decent using R & Python before now let us try a clustering algorithm with R & Python. I will briefly introduce the K means and the steps involved in it and implement these steps in both R & Python. K - means algorithm K-means is one of the simplest unsu read more..
Data Science: All you need to know
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Data Science

Data Science: All you need to know

A multidisciplinary fuse of data inference, algorithm development, and technology to solve analytically complex problems is known as Data science.Data science is eventually about using this data in creative ways to generate business value.Data Science is divided into two sub plots.1.Discovery of data insight which helps quantitative data analysis to help steer strategic read more..
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