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Naive Bayes : Guide Complet — Principes, Exemples et Implémentation Python

Naive Bayes: Principles, Examples, and Python Implementation

17/03/2025 - by Salah YAHIAOUI

Naive Bayes applies Bayes’ theorem with an independence assumption. Complete guide with variants (Gaussian, Multinomial, Bernoulli) and Python code.

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Decision Stump : Guide Complet — Principes, Exemples et Implémentation Python

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Decision Stump: Principles, Examples, and Python Implementation

16/03/2025 - by Salah YAHIAOUI

The Decision Stump is a decision tree with a single decision. Complete guide with optimal threshold and Python code from scratch.

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RBF Network : Guide Complet — Principes, Exemples et Implémentation Python

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RBF Network: Principles, Examples, and Python Implementation

15/03/2025 - by Salah YAHIAOUI

The RBF Network uses Gaussian radial functions as hidden neurons. Complete guide with Python code.

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MLP (Multi-Layer Perceptron) : Guide Complet — Principes, Exemples et Implémentation Python

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MLP (Multi-Layer Perceptron): Principles, Examples and Python Implementation

14/03/2025 - by Salah YAHIAOUI

The MLP is the fundamental neural network with backpropagation. Complete guide with hidden layers, backpropagation and Python code.

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MADALINE : Guide Complet — Principes, Exemples et Implémentation Python

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MADALINE: Principles, Examples and Python Implementation

13/03/2025 - by Salah YAHIAOUI

MADALINE is a single-hidden-layer neural network based on ADALINE. Complete guide with the MRI rule and Python code.

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ADALINE : Guide Complet — Principes, Exemples et Implémentation Python

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ADALINE: Principles, Examples and Python Implementation

12/03/2025 - by Salah YAHIAOUI

ADALINE is an adaptive linear neuron with gradient learning. Complete guide with Python code from scratch and scikit-learn.

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Régression Logistique : Guide Complet — Principes, Exemples et Implémentation Python

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Logistic Regression: Principles, Examples, and Python Implementation

11/03/2025 - by Salah YAHIAOUI

Logistic regression models the probability of belonging to a class. Complete guide with sigmoid function, regularization, and Python scikit-learn code.

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Perceptron : Guide Complet — Principes, Exemples et Implémentation Python

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Perceptron: Principles, Examples, and Python Implementation

10/03/2025 - by Salah YAHIAOUI

The Perceptron is the simplest of linear classifiers. Complete guide with learning rule and Python code from scratch and scikit-learn.

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K-Nearest Neighbors (KNN) : Guide Complet — Classification et Régression en Python

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K-Nearest Neighbors (KNN): Classification and Regression in Python

09/03/2025 - by Salah YAHIAOUI

KNN classifies or predicts by vote of the k nearest neighbors. Complete guide with distance metrics, weights, and Python scikit-learn code.

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Recuit Simulé (Simulated Annealing) : Guide Complet — Principes, Exemples et Implémentation Python

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Simulated Annealing: Principles, Examples, and Python Implementation

08/03/2025 - by Salah YAHIAOUI

Simulated annealing optimizes through decreasing thermal exploration. Complete guide with temperature, Metropolis criterion, and Python code.

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