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Apply what you've learned with these interactive coding exercises.

Probability

Implement Fair Coin from a Biased Coin

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Tree-based Models

Regression Tree Implementation with MSE-based Splitting

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Linear Algebra

Sparse Matrix-Vector Multiplication (CSR vs COO)

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Tree-based Models

Decision Path Extraction and Feature Contribution Tracking for Model Interpretation

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Data Processing

Implement Training Data Iterator with Class Balancing

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Statistical Techniques in ML

Optimized Correlation Matrix Computation

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Statistical Techniques in ML

Implement Numerically Stable Descriptive Statistics

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Deep Learning

Implement Backward Pass for Tensor Operations

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