Second Brain Protocol

Knowledge Base

A curated collection of notes from my Data Science curriculum. Covering Mathematics, Statistics, Python, and ML algorithms.

STATS_II

Bayesian Inference

Understanding posterior distributions, likelihood functions, and priors. Includes Python implementation examples.

UPDATED 2D AGO
PYTHON

Object Oriented Design

Deep dive into Classes, Inheritance, Polymorphism, and Encapsulation in Python.

UPDATED 5D AGO
MATH_II

Eigenvalues & Vectors

Visualizing linear transformations and calculating determinants for dimensionality reduction.

UPDATED 1W AGO
ML_OPS

Gradient Descent

Optimization algorithms visualized. Stochastic vs Batch gradient descent performance comparison.

UPDATED 2W AGO
GAME_DEV

Physics: Raycasting

Implementing raycast logic in Unity C# for projectile collision detection and line-of-sight.

UPDATED 1M AGO

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