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Posts Tagged "Python"

K Nearest Neighbors and its Application in Python

K Nearest Neighbors algorithm The K Nearest Neighbors algorithm (KNN) is an elementary but important machine learning algorithm. KNN can be used for both classification and regression predictive problems. The reason for the popularity of K Nearest Neighbors can be attributed to its easy interpretation and low calculation time. Suppose we have a set of […]

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R vs. Python, Which One is the Best for Data Analysis

The other day I had a debate with my colleague on R vs. Python, and of course, the most frequently asked question, which one scores better. Well, my answer was both. R and Python, both of which are the free and open source, and were developed in the early 1990s, are the two most popular […]

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K Means Clustering And Its Application In Python

K means clustering algorithm K means clustering is an unsupervised machine learning algorithm. An unsupervised learning algorithm is applied on unlabeled data(data without defined categories or groups). The purpose of this algorithm is to find clusters(groups) in the data with the number of clusters being equal to K. The K means clustering works by randomly […]

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An Introduction To Text Analysis In Python

Introduction In this data-intensive world every day, a lot of data is generated involving almost all businesses and processes. It becomes necessary to take the data into account and channelize to generate competitive edge thereby solving business problems efficiently. In the pursuit to solve business problems effectively using data lot of important factors play a […]

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Top 10 Python Libraries for Data Science in 2018

I suppose all of us listen to new songs on the web and forget them in the long run. We might at the best remember the genre or the tune when we hear it after a long time. What if you had something that saves your browser history and lets you create a spreadsheet of […]

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Introduction to Data Visualization In Python

Introduction Data is everywhere and part and parcel of every business or processes functioning a business or in simpler an eternal resource, but very little people realized its importance before this era of the surge towards data-intensive applications.  The biggest reason attributed so far for the delay of coming of this data age where data seems […]

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