This the continuation to the first set of Lagrangian problems/solutions. While it might be a bit foolish to solve such problems, there are a few reasons why they were done: Its good practice to solve some problems that are a little bit different from the norm. It’s good to be forced to think in different ways …
First some of the motivation behind this this small project: A while ago I did some optimization work and this project is to ‘awaken some knowledge’ so I can eventually work on some more complicated optimization projects When I did do some optimization work, I had a lot of difficulties with different solvers on the …
A little while ago I wrote up some of the key details on making a WordPress based website on Google cloud. In this post, a few additional things are discussed which make a WordPress setup a little nicer in terms of data and visualization. Google Analytics… Google Analytics can be included either with a plugin …
This project was more of a large side project than anything else. Its main purpose was to practice making some interactive graphics using the HTML Canvas. Also, it also served to help remember some of the basics with Lagrangian mechanics. Making this project was rather fun. Depending on the workload, more Lagrangian problems will be …
This is a continuation to the previous linear regression document. However this time the focus is on a few different ways to perform non-linear regression using Javascript and various Python frameworks (such as NumPy, SciKitLearn, and TensorFlow). Quadratic Regression Perhaps this is the first logical step beyond linear regression. A parabola of best fit is …
I should have posted this right after I originally created this site, but I wanted to spend some time ironing out any issues first. This way, this document is somewhat more complete. My motivation in creating this site was that I wanted a place to host various projects and other things that I thought were …
This is more of a reference for myself on the multitude of ways that something as computing simple linear regression can be done with Python, SciKitLearn, TensorFlow1, and TensorFlow2. Also, this is a bit of a stepping stone type of project, where the next steps involve non-linear regression, multi-non linear regression in the form of …
A while ago I was curious with the idea of motion tracking using and Arduino and some inexpensive sensors. It was one of my first more complete Arduino project where a variety of code had to written to handle serial communication, 3D graphics, and an OSX (i.e. Mac Desktop) application. Quick Background on Tracking There …