अभ्यास • Week 13

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Weekly Production Deliverable

Target Output

Deliverable: Linked List fundamentals done. KNN, Naive Bayes, SVM done. You're officially in a Kaggle competition.

Weeks: W11 W12 W13 Active W14 W15

Monday

0 / 2 done

DSA Intro to Singly Linked List, Traversal in LL

1.5h

AI/ML Classical ML 1: K-Nearest Neighbors

CampusX: KNN algorithm, distance metrics (Euclidean, Manhattan, Minkowski), choosing optimal K, curse of dimensionality + StatQuest: "K-Nearest Neighbors, Clearly Explained"

2.5h

Tuesday

0 / 2 done

DSA Deletion in LL; Deletion of head/tail/kth

1.5h

CORE Classical Synchronization Problems

Producer-Consumer Problem (Bounded Buffer), Readers-Writers Problem, Dining Philosophers Problem, Sleeping Barber Problem + Quiz

2.5h

Wednesday

0 / 2 done

DSA Delete element with value X; Insertion in LL

1.5h

AI/ML Classical ML 2: Naive Bayes

CampusX: Bayes' Theorem, prior/posterior/likelihood, conditional independence assumption, Gaussian NB, Multinomial NB, Bernoulli NB, Laplace smoothing + StatQuest: "Naive Bayes, Clearly Explained"

2.5h

Thursday

0 / 2 done

DSA Intro to Doubly LL, Deletion & Insertion in DLL

1.5h

CORE Deadlock Principles & Detection

Deadlock definition, 4 Coffman conditions, Resource Allocation Graph (RAG), Wait-For Graph, Safe and Unsafe states + Quiz

2.5h

Friday

0 / 2 done

DSA Convert Array to DLL; Delete/Insert given node

1.5h

AI/ML Classical ML 3: Support Vector Machines & Kaggle Kickoff

CampusX: Maximal Margin Classifier, Soft Margin (Slack variables, C parameter), Kernel Trick (Linear, Polynomial, RBF) + StatQuest: "SVM, Clearly Explained" + Enter a real Kaggle "Getting Started"/Playground competition (inspect dataset, establish baseline)

2.5h

⚡ Weekend High-Load Execution • 8.0h Daily Deep Focus Lab

Saturday

0 / 3 done

DSA Remove given node in DLL; Insert before head/tail

1.5h

AI/ML ml-from-scratch KNN & Naive Bayes Lab (4.0h)

Implement K-Nearest Neighbors (Euclidean & Manhattan distance) and Gaussian Naive Bayes from scratch in raw NumPy.

4.0h

APT Quant M13 & Verbal

Quant M13 Age (Basic & Advance) + Verbal: Mixed Practice

2.5h

Sunday

0 / 3 done

DSA Full Linked List basics revision

1.5h

AI/ML SVM & Kernel Trick Lab (4.0h)

Train Linear and RBF kernel SVMs in scikit-learn; visualize margin boundaries, support vectors, and soft-margin C hyperparameter effect.

4.0h

APT Logical & Deadlock Handling

Logical: Dices (Basic & Advance) + Deadlock Prevention, Deadlock Avoidance (Banker's Algorithm), Deadlock Detection & Recovery, Starvation vs Deadlock

2.5h

edit_note

Week 13 Technical Notes & Journal

#LeetCode #Java #DSA #Week13