Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. The…

Read MoreStatistics is a crucial part of data science. If you think about the 3 phases of a typical data science project, Data Collection, Data Analysis and Results Communications, statistics is critical in the first two. You need to apply appropriate sampling techniques so data collected are not biased. In Phase II, you need modeling skills…

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