### Stats with Python: Multiple Linear Regression

March 31, 2021 | 3 min readThis post steps forward to multiple linear regression. The method of least squares is revisited --with linear algebra.

Under the sea, in the hippocampus's garden...

Welcome to Hippocampus's Garden, a Shion Honda's blog.
I regularly write about machine learning, statistics, programming, and my hobbies.

This post steps forward to multiple linear regression. The method of least squares is revisited --with linear algebra.

This post summarizes the basics of simple linear regression --method of least squares and coefficient of determination.

Is the sample correlation coefficient an unbiased estimator? No! This post visualizes how large its bias is and shows how to fix it.

A golang implementation of dispatcher-worker pattern with errgroup. It immediately cancels the other jobs when an error occurs in any goroutine.

The correlation coefficient is a familiar statistic, but there are several variations whose differences should be noted. This post recaps the definitions of these common measures.

When you sample from a finite population without replacement, beware the finite population correction. The samples are not independent of each other.

What is unbiased sample variance? Why divide by n-1? With a little programming with Python, it's easier to understand.

Let's re-inplement face swapping in 10 minutes! This post shows a naive solution using a pre-trained CNN and OpenCV.