I found this article about SIR. It gives a brief description on how the function works. Also it gives an example to use in Python. #Math3185
https://t.co/EeaE1AflnT
@stina_28 I found this very helpful in explaining R-squared. I also found it interesting when the article talks about how not every low R-squared value is bad and every high R-squared value is good.
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
@stina_28 I like that the article goes step by step of what you need to do in Python to input into Python. Rather than just giving the code for the weighted least squares regression.
@_jaydonp Thank you for this. This can help us on our quiz that involves a least squares regression of a sin curve. It was tricky but this helped me to understand it.
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
@g_miller3003 I think the article does a great job of describing the differences in the two types of interpolation. Makes you understand on a deeper level why the cubic spline is used and important.
@stina_28 Thanks for the article, the step by step example helped me to understand the math of the cubic spline a lot more. I also found the regression library to be interesting. Maybe it’s something we will go into next.
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
@_jaydonp This is a very neat and descriptive article. I like that’s it takes about Lagrange interpolating and Newtons divided difference but also that it adds more examples of interpolation such as Chebyshev interpolation.
@stina_28 I like that the articles gives an example of how to solve for an x value through Neville’s iteration as well as giving a code to put in Python. This will hopefully be helpful in the future.
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
@_jaydonp This was very helpful. I ran into some problems on the first project with the use or order of operations. This is going to help a lot for me when fixing my code because it didn’t give the output I want.
@stina_28 I like that the article explains why it’s important to use the least squares method and goes into detail to help you truly understand it. It helps you to understand the significant situation can play in our daily lives.