Weekly Checklists (Guide)

Reference extracted from the detailed guide.

Week 1 Checklist

• LC #1, #121, #217, #238, #53 (Arrays)
• LC #242, #49, #347, #128, #146 (Hash Maps)
• LC #206, #21, #141, #143 (Linked Lists)
• Watch 3Blue1Brown Linear Algebra (Ep 1-4)
• Watch StatQuest Bayes + Distributions
• Total: 25 problems

Week 2 Checklist

• LC #226, #104, #102, #98, #235, #236 (Trees)
• LC #200, #133, #207, #210, #994 (Graphs)
• Watch CS231n Lecture 2 (Linear Classifiers)
• Implement Linear Regression from scratch
• Implement Logistic Regression from scratch
• Total: 50 problems

Week 3 Checklist

• LC #70, #198, #213, #5, #91 (1D DP)
• LC #62, #72, #1143 (2D DP)
• LC #322, #300, #139, #416 (Classic DP)
• Watch StatQuest Decision Trees + Random Forest
• Implement Decision Tree from scratch
• Total: 75 problems

Week 4 Checklist

• LC #743, #684, #127 (Advanced Graph)
• LC #215, #295, #23 (Heap)
• LC #208, #211, #212 (Trie)
• Watch 3Blue1Brown Neural Networks (all 4)
• Implement 2-layer NN from scratch
• Total: 100 problems

Week 5 Checklist

• LC #704, #74, #875, #4 (Binary Search)
• LC #20, #739, #84 (Stack)
• Watch CS231n CNNs
• Build CNN on MNIST (PyTorch)
• Total: 125 problems

Week 6 Checklist

• LC #78, #46, #39, #79 (Backtracking)
• LC #56, #57, #253 (Intervals)
• Watch Illustrated Transformer + Karpathy GPT
• Implement self-attention from scratch
• Total: 150 problems

Week 7-8 Checklist

• Study 4 ML system designs (Rec, Feed, Ads, Search)
• Read Chip Huyen book (Ch 1-6)
• 2 mock system design interviews
• Total: 170 problems

Week 9-10 Checklist

• Company-specific LeetCode (Meta/Google tags)
• 4 full mock interviews
• Behavioral stories prepared
• Total: 200 problems

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