Collection of notebooks about quantitative finance, with interactive python code.
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Updated
Jul 27, 2024 - Jupyter Notebook
Collection of notebooks about quantitative finance, with interactive python code.
Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
An interactive jupyter notebook to illustrate Kalman-Bucy filter.
Notebooks about object motion and localization from the Udacity Computer Vision Nanodegree.
Kalman Filters are used for state estimation in control systems. This repository includes an implementation of the algorithm in Python and also a Jupyter Notebook for testing in real data for altitude estimation of a quadrotor
Navigation code in Python
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