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Introduction Data visualization is probably the most important and typically the least talked about area of data science. I say that because how you …

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Background – when sufficient is not enough I was an engineer working with an MNC in a pretty cushy job. It would have been a …

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The value is not in software, the value is in data, and this is really important for every single company, that they understand what …

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Introduction Exploratory Data Analysis (EDA) helps us to uncover the underlying structure of data and its dynamics through which we can maximize the insights. EDA …

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Introduction “Machine intelligence is the last invention that humanity will ever need to make.” Nick Bostrom Artificial intelligence is a reality today and it …

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Introduction If you ask any experienced analytics or data science professional, what differentiates a good model from a bad model – chances are that …

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Introduction The practice of using analytics to measure movie’s success is not a new phenomenon. Most of these predictive models are based on structured …

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Introduction TensorFlow is one of the most popular libraries in Deep Learning. When I started with TensorFlow it felt like an alien language. But …

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Introduction If you have spent some time in machine learning and data science, you would have definitely come across imbalanced class distribution. This is …

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Introduction Conventional media, such as television, radio or newspapers transmits information only in one direction. Users can consume the information which the media offers, …