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Foreword Few months back, I got an opportunity to work on a QlikView project with an insurance company. The objective was to create a sales dashboard was …

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We launched our learning paths in January this year – and they have done phenomenally well. They solve a problem every person wanting to …

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ARMA models are commonly used for time series modeling. In ARMA model, AR stands for auto-regression and MA stands for moving average. If the sound of these …

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In the last two articles of this series (data exploration & preparation), we looked at Variable identification, Univariate, Bi-variate analysis and Missing values treatment. In this article, …

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Over the last 2 years, this is the most common query I receive from our readers: Which data science / analytics training should I …

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This is the second part of the step by step guide to Time Series Modelling. In the first part, we looked at basics of …

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Introduction In Part-1 of this series, we looked at the first three steps of Data Exploration & Preparation, namely Variable identification, Univariate and Bivariate analysis. In this …

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I bought my first fitbit recently and I am loving it! While tracking my activities is obviously good, what makes it a great product …

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Introduction Regression Models, both linear and logistic are an inevitable part of Analytics industry. Take a flashback & recall, when did you built your last Time …

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Introduction I have been a Business Analytics professional for close to three years now. In my initial days, one of my mentor suggested me …

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Did you feel like a lost bird when you started learning Machine learning? Do you learn coding on a language first? Or you focus …

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Occam’s Razor, a problem solving principle states that “Among competing hypotheses, the one with the fewest assumptions should be selected. Other, more complicated solutions may ultimately …

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