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Overview
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Numeric features
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Categorical and ordinal features
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Datetime and coordinates
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Handling missing values
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Exploratory data analysis
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Building intuition about the data
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Exploring anonymized data
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Visualizations
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Dataset cleaning and other things to check
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Springleaf competition EDA I
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Springleaf competition EDA II
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Validation and Overfitting
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Validation strategies
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Data splitting strategies
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Problems occurring during validation
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Motivation
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Regression metrics review I
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Regression metrics review II
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Classfication metrics review
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general approaches for metrics optimization
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Regression metrics optimization
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Classification metrics optimization I
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Classification metrics optimization II