MATH_FOR_MACHINE_LEARNING_PROJECTS - Expanded Projects

This directory contains expanded, individual project deep dives generated from MATH_FOR_MACHINE_LEARNING_PROJECTS.md.

# Project Difficulty
1 Scientific Calculator from Scratch Level 1: Beginner (The Tinkerer)
2 Function Grapher and Analyzer Level 2: Intermediate (The Developer)
3 Polynomial Root Finder Level 2: Intermediate (The Developer)
4 Matrix Calculator with Visualizations Level 2: Intermediate (The Developer)
5 2D/3D Transformation Visualizer Level 3: Advanced (The Engineer)
6 Eigenvalue/Eigenvector Explorer Level 3: Advanced (The Engineer)
7 PCA Image Compressor Level 3: Advanced (The Engineer)
8 Symbolic Derivative Calculator Level 2: Intermediate (The Developer)
9 Gradient Descent Visualizer Level 3: Advanced (The Engineer)
10 Numerical Integration Visualizer Level 2: Intermediate (The Developer)
11 Backpropagation from Scratch (Single Neuron) Level 3: Advanced (The Engineer)
12 Monte Carlo Pi Estimator Level 1: Beginner (The Tinkerer)
13 Distribution Sampler and Visualizer Level 2: Intermediate (The Developer)
14 Naive Bayes Spam Filter Level 2: Intermediate (The Developer)
15 A/B Testing Framework Level 2: Intermediate (The Developer)
16 Markov Chain Text Generator Level 2: Intermediate (The Developer)
17 Linear Regression from Scratch Level 2: Intermediate (The Developer)
18 Logistic Regression Classifier Level 3: Advanced (The Engineer)
19 Neural Network from First Principles Level 4: Expert (The Systems Architect)
20 Complete ML Pipeline from Scratch Level 5: Master (The First-Principles Wizard)
21 Sequence and Series Convergence Lab Level 2: Intermediate (The Developer)
22 Matrix Calculus Backpropagation Workbench Level 4: Expert (The Systems Architect)
23 Information Theory Loss Engineering Lab Level 3: Advanced (The Engineer)
24 Numerical Stability and Conditioning Stress Lab Level 4: Expert (The Systems Architect)
25 Convex Optimization and KKT Constraint Solver Level 4: Expert (The Systems Architect)
26 Measure-Theoretic Probability Sandbox Level 4: Expert (The Systems Architect)
27 Real Analysis Generalization Bounds Lab Level 4: Expert (The Systems Architect)
28 Functional Analysis and RKHS Kernel Lab Level 5: Master (The First-Principles Wizard)
29 Graph Theory Message Passing Playground Level 3: Advanced (The Engineer)
30 Spectral Methods and Graph Laplacian Clusterer Level 4: Expert (The Systems Architect)
31 Random Matrix Theory in High-Dimensional ML Level 5: Master (The First-Principles Wizard)

Use these files with the main sprint guide. Each file adds execution scaffolding, validation structure, and interview-facing explanations.