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1. Reinforcement-Learning Reinforcement-Learning Public

   Reinforcement learning algorithms with mathematical derivations and Sutton & Barto figure reproductions.

   Jupyter Notebook 2

2. MonteCarlo-Statistical-Methods MonteCarlo-Statistical-Methods Public

   A visual, hands-on introduction to Monte Carlo methods with clean simulations, intuitive explanations, and from-scratch implementations.

   Jupyter Notebook 3

3. Bayesian-Filtering-and-Smoothing Bayesian-Filtering-and-Smoothing Public

   This repository focuses on estimating hidden states of systems that evolve over time under uncertainty using Bayesian filtering and smoothing methods. It examines how noisy measurements and imperfe…

   Jupyter Notebook 2

4. Statistical-Inference-Theory Statistical-Inference-Theory Public

   Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estima…

   HTML 4

5. Probability-and-Distribution-Theory Probability-and-Distribution-Theory Public

   Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 1-5), covering foundational concepts in probability and distribution theory. Topics include random v…

   HTML 4

6. Stanford-EE261-The-Fourier-Transform-and-its-Applications Stanford-EE261-The-Fourier-Transform-and-its-Applications Public

   This repository contains lecture notes and solved problem sets from Stanford's EE261: The Fourier Transform and its Applications. It covers essential topics like Fourier Series, Fourier Transform, …

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