Machine Learning – Data Science

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  Explain what machine learning is by comparing to statsitical learning and referring to data mining and algorithms

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  Practice preparing and classifying data to use, then practicing with regression, unsupervised learning, text mining, pattern mining and outlier analysis to gain greater insights from analysing data

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  Test machine learning algorithms to evaluate effectiveness and visualise performance to ultimately choose the most effective model

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  Describe how machine learning libraries work and use python fundamentals to practice using them