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Introduction Data Science & Machine Learning are being used by organizations to solve a variety of business problems today.  In order to create a …

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Introduction Finding underlying patterns and taking decisions is very critical in Stock market. The same skill can be applied to many parallel domains. For …

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Introduction I remember initial days of my Machine Learning (ML) projects. I had put in a lot of efforts to build a really good …

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Introduction What differentiates the best data scientists from others? It is their focus on application of data science. The best data scientists I know …

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Introduction Neural network is an information-processing machine and can be viewed as analogous to human nervous system. Just like human nervous system, which is …

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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 …