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Progress by Part

Math & Statistics for ML
0/26
Data & Statistics Foundations
0/15
Classical ML: Linear Models
0/32
Classical ML: Trees & Ensembles
0/19
Classical ML: Unsupervised & Evaluation
0/27
Deep Learning: Core Mechanics
0/25
Deep Learning: Training & Theory
0/33
Sequence Modeling & Attention
0/24
Transformers & LLMs
0/36
Vision Modeling
0/31
Systems: Performance & Efficiency
0/20
Systems: Memory & Distributed Training
0/10
Reinforcement Learning & Alignment
0/25
Production ML
0/14

Progress by difficulty

Easy
0/108
Medium
0/170
Hard
0/59