अभ्यास • Week 09

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Weekly Production Deliverable

Target Output

Deliverable: Binary Search fully done except 2D arrays. Two working from-scratch ML algorithms (Linear + Logistic Regression) in your own repo, plus scikit-learn fluency for both.

Weeks: W06 W07 W08 W09 Active W10

Monday

0 / 2 done

DSA Find square root of a number; Find Nth root of a number

1.5h

AI/ML Logistic Regression: Theory & Sigmoid

CampusX: Why not Linear Regression for classification? The Sigmoid function, Odds, Log-Odds, Maximum Likelihood Estimation (MLE), Binary Cross-Entropy Loss

2.5h

Tuesday

0 / 2 done

DSA Find the smallest divisor

1.5h

CORE Advanced Joins & Views

Views in SQL, Materialized Views + solve Level-2/Level-3 joins: Team Size, Average Experience by Project, Students in Non-Existent Departments, Low Bonus Employees

2.5h

Wednesday

0 / 2 done

DSA Koko Eating Bananas

1.5h

AI/ML Logistic Regression: Intuition & Multiclass

StatQuest: "Logistic Regression, Clearly Explained" + Andrew Ng ML Spec Course 1 Week 3 (classification, decision boundary, regularization) + Multiclass classification (One-vs-Rest, Softmax)

2.5h

Thursday

0 / 2 done

DSA Minimum days to make M bouquets

1.5h

CORE SQL Subqueries Deep Dive

Intro to Subqueries, Subqueries in WHERE/SELECT/FROM, Correlated Subqueries, EXISTS vs NOT EXISTS + solve: Contest Participation Rate, High-Report Managers, All-Product Buyers

2.5h

Friday

0 / 2 done

DSA Aggressive Cows; Book Allocation Problem

1.5h

AI/ML Evaluation Metrics & Scratch Implementation

Confusion Matrix, Accuracy, Precision, Recall, F1-Score, ROC-AUC curve + Scratch implementation: Code Logistic Regression with Gradient Descent in raw NumPy; add to ml-from-scratch repo

2.5h

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

Saturday

0 / 3 done

DSA Find peak element; Median of 2 sorted arrays

1.5h

AI/ML ml-from-scratch Logistic Regression Lab (4.0h)

Implement Sigmoid, Binary Cross-Entropy loss, and gradient descent for classification in raw NumPy; test on Breast Cancer dataset.

4.0h

APT Quant M9 & Verbal

Quant M9 Partnership (Basic & Advance) + Verbal: Mixed Practice Set (all 8 topics)

2.5h

Sunday

0 / 3 done

DSA Kth element of 2 sorted arrays; Minimize Max Distance to Gas Station; Split Array

Largest Sum

1.5h

AI/ML Classification Metrics Deep Dive (4.0h)

Implement Confusion Matrix, Precision, Recall, F1-Score, and ROC-AUC from scratch in Python; analyze class imbalance scenarios.

4.0h

APT Logical & Query Optimization

Logical: Reasoning Analogy (Basic & Advance) + DBMS: Query Processing, Query Optimization, Indexes in SQL + solve: First Device Logged In, Salespersons Without RED Orders

2.5h

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Week 09 Technical Notes & Journal

#LeetCode #Java #DSA #Week09