Resources

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Simple Linear Regression: Modeling the Relationship Between Two Variables

Simple linear regression can be used to predict future outcomes given a dataset of past ...

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Correlation Analysis: Quantifying Linear Relationships Between Features

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Covariance: Finding Direction Among Variable Relationships

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Estimators: Sampling Measures to Estimate Population Values

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Statistical Parameter: A True Measure of Population Value

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Dependent Variable: Measuring the Outcome

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Byte Array: Sequences of 8-Bit Groups

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Conditionals: The Power of True vs. False

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Absolute Value: Keeping a Positive Attitude

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Set Notation: Meaning, Types, and Common Cases

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Open/Closed Principle (OCP): Designing for Extensibility Over Modification

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Code Smell (a.k.a. Software Design Smells)