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📚 Your Learning Roadmap

Your learning progress on essential AI coding knowledge.

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

Implement a Learning Rate Scheduler with Warmup

Implement Stochastic Gradient Descent with Weight Decay and Gradient Accumulation

Calculate Covariance Matrix

Implement Reduced Error Post-Pruning for Decision Trees

Implement Backward Pass for Tensor Operations

Implement Dropout with Train/Test Modes

Stratified Sampling for Training Data Iterator

Multicollinearity Detector Using Variance Inflation Factor (VIF)