Data Science

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

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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..
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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..
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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..
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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..
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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..
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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..
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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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Battle of the Programming Languages: R vs Python

We are going to compare Functions exist in both R and Python for same operations. And for this we took the Titanic dataset which contains the Passenger details.Importing a CSVReading Data in both the languages is similar, but the only difference is for python we have to import pandas library for reading the Data. Once the importing is done we can look into the data read more..
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Retail banking classification models

Now days the retail banking is one of the important business in banking sector, to improve the customer base, retain the existing customer, improve the banking revenue by offering different product to customer.Today's world is digital, data is raising like population and you have to identify different customer in term of market opportunity, their risk and profit for bank.Of co read more..