Fitting Statistical Models to Data with Python
University of Michigan
AI is combination of many different fields. Statistics definitely belongs to the group of the most fundamental ones. There are so many online courses, I never saw two courses that are teaching identical things. I can always learn something new.
Before this course, I’ve never used the library statsmodels in the past. Linear regression, logistic regression, multilevel models, marginal models, and etc. The library implemented those commonly used models in such a neat and succinct way. In the final week, there is a brief introduction to Bayesian inference techniques. Like a gate, it leads to more exciting topics to explore.
Quick Recap
My Certificate
https://coursera.org/share/1b3234bbdb8f29c1dd8b9febd8aa16ca
I am Kesler Zhu, thank you for visiting my website. Checkout more course reviews at https://KZHU.ai
All of your support will be used for maintenance of this site and more great content. I am humbled and grateful for your generosity. Thank you!
Don't forget to sign up newsletter, don't miss any chance to learn.
Or share what you've learned with friends!
Tweet
