DEV Community: jo

【Python】Implementation Of Logistic Regression

jo — Mon, 04 Apr 2022 15:14:42 +0000

In this section, we will implement it using Python.

Full-scratch implementation and Implementation using scikit-learn.

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https://laid-back-scientist.com/en/logistic-imple

Explanation Of Logistic Regression Theory

jo — Sun, 03 Apr 2022 14:02:37 +0000

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.

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https://laid-back-scientist.com/en/logistic-theory

Principal Component Analysis (PCA), Python Code

jo — Sat, 02 Apr 2022 12:34:12 +0000

In this article, we will implement Principal Component Analysis using Python.
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https://laid-back-scientist.com/en/pca-imple

Principal Component Analysis (PCA) Theory

jo — Sat, 02 Apr 2022 06:58:11 +0000

Principal component analysis is a method of summarizing the information in multidimensional data observed for features that are correlated with each other into new features expressed as a linear combination of the original features, with as little loss of information as possible.

The data to be classified by machine learning is often highly dimensional, well beyond three dimensions. This makes data visualization difficult and computationally expensive.

Even in such cases, principal component analysis can be used to compress dimensions and project the data into a 1D line, 2D plane, or 3D space to visually grasp the data structure.

This article describes the basic theory behind principal component analysis.

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https://laid-back-scientist.com/en/pca-theory