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Predictive modeling

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Introduction I was talking to one of my friends who happens to be an operations manager at one of the Supermarket chains in India. …

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Introduction For any Python or R practitioner, this article will prove to be a boon. We provide you cheatsheets for the most widely used machine …

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Introduction One of the best ways I use to learn machine learning, is by benchmarking myself against the best data scientists in competitions. It …

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Introduction Some of these tools are even better than programming (R, Python, SAS) tools. All of us are born with special talents. It’s just …

Introduction Surprises arrive when you expect them least to arrive. The Seer’s Accuracy turned out to be a challenging surprise for data scientists.  So, what changed …

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Introduction R is a powerful language used widely for data analysis and statistical computing. It was developed in early 90s. Since then, endless efforts …

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Introduction Let’s come straight to the point on this one – there are only 2 types of variables you see – Continuous and Discrete. …

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Introduction Categorical variables are known to hide and mask lots of interesting information in a data set. It’s crucial to learn the methods of …

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Introduction Machine Learning is nothing but building a ‘machine’ which ‘learns’ from its experience. And, becomes better with experience – just like humans. We also …

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Introduction Every machine learning algorithm works best under a given set of conditions. Making sure your algorithm fits the assumptions / requirements ensures superior …

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