Basic data preparation for Machine Learning

The very core of every learning algorithm is data. The more, the better. Experiments show that for a learning algorithm to reach its full potential, the data that we feed to it must be as qualitative as it is quantitative. To achieve state of the art results in data science projects, the main material, namely data, has to be ready to be shaped and moulded as our particular situation demands. Algorithms that accept data as raw and unprocessed as it …

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