code
ML Coding
Implement from scratch, NumPy/PyTorch exercises, and ML algorithm problems — runs in parallel with all other tracks.
Overall Progress0%
0 of 24 topics completed
Linear Regression + Gradient Descent
beginner45 min
Softmax & Cross-Entropy
beginner35 min
Self-Attention Mechanism
intermediate50 min
Multi-Head Attention
intermediate55 min
Transformer Block
advanced60 min
BPE Tokenizer
intermediate50 min
KV-Cache
advanced45 min
LoRA Layer
advanced45 min
Batch Matrix Multiply
beginner30 min
Custom Autograd Function
intermediate40 min
Efficient Data Loader
intermediate45 min
Mixed Precision Training Loop
advanced50 min
Gradient Accumulation
intermediate35 min
Distributed Training Script
advanced55 min
Custom LR Scheduler
intermediate35 min
Beam Search Decoding
advanced50 min
K-Means Clustering
beginner35 min
Decision Tree from Scratch
intermediate55 min
ANN/HNSW Index
advanced60 min
Top-k / Nucleus Sampling
intermediate35 min
Cosine Similarity Search
beginner25 min
Feature Hashing
intermediate30 min
Online Learning Update
intermediate35 min
Metrics Computation
beginner30 min