← All categoriesCoding for ML
NumPy, PyTorch, and the round where you implement it from scratch.
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25🟡Implement Linear Regression from Scratchmust-know5 min🔴Implement Self-Attention from Scratchmust-know5 min🟢NumPy Broadcasting & Vectorization5 min🟢Pandas: GroupBy, Merge, Window5 min🟡Implement Logistic Regression from Scratch5 min🟡Implement k-Means from Scratch5 min🟡Implement k-NN Efficiently5 min🟡Implement Softmax + Cross-Entropy Stably5 min🟡Implement Vector Similarity Search5 min🟡Implement ROC-AUC from Scratch5 min🟡Implement Non-Max Suppression5 min🟡Views, Copies & Memory in NumPy5 min🟡The PyTorch Training Loop5 min🟡Dataset & DataLoader Patterns5 min🟡Making Pandas Fast5 min🟡Complexity Questions in ML Coding5 min🟡Your Loss Is NaN. Now What?5 min🟡Writing ML Code Someone Else Can Run5 min🔴Implement Multi-Head Attention5 min🔴Implement Backprop for an MLP5 min🔴Implement BatchNorm Forward & Backward5 min🔴Implement Conv2D from Scratch5 min🔴Implement a Decision Tree Split5 min🔴Implement a Toy BPE Tokenizer5 min🔴Autograd Gotchas: detach, no_grad, retain_graph5 min