verified_user
Target Output
Weekly Production Deliverable
Deliverable — end of Phase 2 checkpoint:
DSA: Arrays, Hashing, Binary Search (1D + 2D) — fully done
Core CS: DBMS + essentially all TUF+ SQL practice problems — done
AI/ML: Data Toolkit done; Feature Engineering, Linear Regression, Logistic Regression, Decision Trees done via CampusX + StatQuest + Andrew Ng; 3 algorithms implemented from scratch in your own repo; EDA project shipped
Aptitude: Quant M1–10, Logical L1–9, all 8 Verbal topics complete
Monday
0 / 2 done
DSA
Find row with maximum 1's
1.5h
AI/ML
Decision Trees: Mathematical Foundation
CampusX: Intuition, recursive binary splitting, Entropy, Information Gain, Gini Impurity, Variance Reduction for regression trees
2.5h
Tuesday
0 / 2 done
DSA
Search in a 2D Matrix
1.5h
CORE
Subqueries Level-2 & NoSQL Intro
solve Subqueries Level-2 & 3: Employees with Highest Salary in Department, Safe Investment Countries, Tennis Grand Slam Winners + DBMS: NoSQL Databases overview
2.5h
Wednesday
0 / 2 done
DSA
Search in a 2D Matrix
II
1.5h
AI/ML
Decision Trees: Code & Visual Intuition
StatQuest: "Decision Trees, Clearly Explained" + CampusX: scikit-learn
DecisionTreeClassifier and DecisionTreeRegressor, tree visualization, hyperparameter tuning (max_depth, min_samples_split)
2.5h
Thursday
0 / 2 done
DSA
Find Peak Element
II
1.5h
CORE
Common Table Expressions (CTEs) & Date Functions
Non-Recursive & Recursive CTEs (WITH clause) + Date/Time functions (Calculating Date Differences: DATEDIFF, TIMESTAMPDIFF, DATE_ADD, EXTRACT) + solve: Frequently Ordered Products, Warmer Days, Latest Login, Restaurant Payment Trends, Top Ratings in Feb 2020
2.5h
Friday
0 / 2 done
DSA
Matrix Median + Contest
1.5h
AI/ML
Decision Trees: Andrew Ng & Scratch Code
Andrew Ng ML Spec Course 2 (Decision Trees module) + Scratch implementation: Code a simplified Decision Tree (single-feature-split logic, Gini-based) in raw NumPy; add to
ml-from-scratch + write synthesis notes explaining all 4 ML algorithms
2.5h
⚡
Weekend High-Load Execution
• 8.0h Daily Deep Focus Lab
Saturday
0 / 3 done
DSA
Full Binary Search revision
redo 5 problems cold
1.5h
AI/ML
ml-from-scratch Decision Tree Lab (4.0h)
Code Decision Tree Classifier using Gini Impurity and recursive splitting from scratch in raw NumPy/Python.
4.0h
APT
Quant M10 & Verbal
Quant M10 Mixtures and Alligation (Basic & Advance) + Verbal: Mixed Practice
2.5h
Sunday
0 / 3 done
DSA
Phase 2 checkpoint
redo 1 problem from each DSA topic this phase
1.5h
AI/ML
Phase 2 Classical ML Review & Kaggle Drill (4.0h)
Kaggle Learn "Intro to Machine Learning" certificate; benchmark your scratch Decision Tree vs scikit-learn.
4.0h
APT
Logical & Transactions/ACID
Logical: Blood Relations (Basic & Advance) + DBMS: Transactions & Concurrency (ACID properties, Serializability, Isolation Levels, CAP Theorem) + Database Backups (Full, Differential, Transaction Log / WAL) & Recovery Management (Point-in-Time Recovery, RPO/RTO) + Full Phase 2 revision
2.5h
edit_note
Week 10 Technical Notes & Journal
#LeetCode
#Java
#DSA
#Week10