Example Curriculum

  Problem Description
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  Setup environment
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  Understanding the data
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  Pre-process the data
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  Perform EDA (Exploratory Data Analysis)
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  Statistical significance tests
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  Engineer new features and process data
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  Evaluation methods for classification
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  Machine Learning models
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  Model improvement and interpretation
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  Summary
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