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Introduction R offers multiple packages for performing data analysis. Apart from providing an awesome interface for statistical analysis, the next best thing about R is …

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Introduction Ensemble modeling is a powerful way to improve performance of your model. It usually pays off to apply ensemble learning over and above …

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Introduction There has been a lot of investment in Big Data by various companies in last few years. This rise in usage of big …

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Introduction Brevity is the soul of wit This powerful quote by William Shakespeare applies well to techniques used in data science & analytics as well. …

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One of the most common question I get asked around is What is your view about Analytics industry in India? and it comes in …

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A quick exercise Let’s say you are a customer service executive working for a bank (and the only one for this hypothetical case). You …

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Introduction Twitter started the trend of ‘People to Follow’. This later got replicated by other platforms such as Facebook, Linkedin, Quora and GitHub. This cool …

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Introduction If some one would ask me to mention 2 most important libraries in Python for data science, I’ll probably name “pandas” and “scikit-learn”. …

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Let us take a look at Gartner’s Magic quadrant for Business Intelligence and Analytics platforms: If there is one company which stands out even …

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Introduction This was in my first year of engineering degree. A hungry, home-food sick student (me) was treated (by a college senior) with a lavish buffet …

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Facebook recently wrapped up its Recruitment competition on Kaggle. This was by far the richest data I have seen on Kaggle. The amount of …

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Introduction There are only 2 possible outcomes for every serious participant in a data science competition – you either win it or you learn …

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