Top Tweets for #Math3185

For our last post of the semester, I am mixing it up and focusing on Question 2 for homework 4. This article looks at Zonbie Apocalypses and potential ways we can add to the equation! #Math3185 https://t.co/wxU8OAtB44
Check out this article on Euler's method to solve differential equations. It provides an example and a chunk of the code used. https://t.co/aN8BOkU0Da #math3185
This Article compares why and when to use R- squared, correlation, and covariance. Giving each one an example of how to input into Python.
#math3185
https://t.co/7djgUV2XQy
Hey everyone!
Here is an article covering how to solve R^2 step-by-step using Python. This is extremely helpful as a review of what we learned in class on Thursday. It could also potentially be helpful in Project 2!
#Math3185
https://t.co/NWMR4iDofT
Check out this article on Ordinary Least Squares regression. It gives a basic understanding of the math with some interactive charts that show the effects. https://t.co/uL3wViDOQf #math3185
This article talks about partial least squares regression . It also gives a couple of examples with graphs showing the use of partial least squares regression in Python. #math3185
https://t.co/eX7pcDHB1H
Hey everyone! I have attached a short link building on what we learned in class. It shows how to create a linear least squares regression of a sine wave! #Math3185
https://t.co/qaXTgNDKWZ
This article explains what cubic spline interpolation is by giving an example like we saw in class. It also goes into the implementation of cubic spline interpolation in Python. #math3185
https://t.co/PrMrAyBngN
Hey everyone! This article covers Parametric Curve Fitting. This method is compared with Lagrange interpolation and cubic splines that we did in class and is another pretty cool way to model points on a graph!
#Math3185
https://t.co/DShB79AX4F
Check out this article on Numerical interpolation. It does a great job explaining what interpolation is and the different types. It even gives an example of a cubic spline we saw in class. https://t.co/vaVLnUCGtO #MATH3185
Check out this article on Newton's Divided Difference. We will be looking at this method this week during class and could be helpful for first look #math3185 https://t.co/KxruzWGIOJ
In class last week we went over how to input Lagrange interpolating polynomials into Python. This article gives a code on inputting Neville’s iteration into Python https://t.co/kyFVUyaPNR #math3185
I found this really neat article that briefly discusses Lagrange interpolating polynomials and polynomials that look to perfect LIP and how to code them in Python! #math3185
https://t.co/JsBi7JA1yV
Last week we touched the topic about interpolation. We did not get to practicing in Python but only how to calculate the equations by hand. This article explains linear interpolation and how to input it into Python. #math3185 https://t.co/4mB7bJ8JEh
For Project One, one of the major issues I ran into was trying to use PEMDAS in Python inappropriately. So my article for this week focuses on how to use order of operations in Python! #math3185
https://t.co/pKujqcZ2LT
We discussed probability this past week and this article explains what probability is. It also gives code examples of how to set up for a probability problem in Python. #math3185
https://t.co/ibpnnBLoR1
After our discussion in class about a potential project regarding enrollment I decided to do some research. I found this article that shows a decline in enrollment dating back to 2010. https://t.co/juvDz73rqD #math3185
For our first project, I have been reading articles that I think will help format my project correctly. I found that this article does a great job at demonstrating how to implement graphs and functions into technical writing. Hope it helps! #Math3185
https://t.co/JT5bGTYOa5
We discussed the idea that for our second project we would be working with data involving retention rates at our college. This article talks about some data on the national level of retention rates for different kinds of institutions.
#math3185
https://t.co/Bao8PNP37M
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