プログラミング 【Python】Implementation Of Logistic Regression
Logistic regression is implemented using full scratch and scikit-learn. In this section, we will implement it using Python.
機械学習
プログラミング 
数学 Derivation Of “Differentiate By Vector” Formula
When studying machine learning theory, we often see the operation of "differentiating a scalar by a vector. In this article, we derive the formula for "differentiating a scalar by a vector.
機械学習 Explanation Of Logistic Regression Theory
The theory of logistic regression is explained in simple terms. Estimating the value of a parameter based on n pairs of observed data yields a model that outputs the probability of a response to any given numerical level.
プログラミング Principal Component Analysis (PCA), Python Code
Principal Component Analysis (PCA) is implemented using full-scratch and scikit-learn. In this section, we will implement it using Python.
機械学習 Principal Component Analysis (PCA) Theory
The theory of principal component analysis (PCA), a method of dimensional compression, is explained. Principal Component Analysis is a method to summarize the information of multidimensional data observed on mutually correlated features into new features expressed as a linear combination of the original features without losing any information as much as possible.
