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Random Forest (Régression) : Guide Complet — Principes, Exemples et Implémentation Python

Random Forest applied to regression. Complete guide with bagging, mean prediction, and scikit-learn Python code.

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Random Forest (Classification) : Guide Complet — Principes, Exemples et Implémentation Python

Random Forest (Classification): Principles, Examples, and Python Implementation

25/01/2025 - by Salah YAHIAOUI

Random Forest, an ensemble of decision trees via bagging. Complete guide with bagging, feature subsampling, and scikit-learn Python code.

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Arbre de Décision (Régression) : Guide Complet — Principes, Exemples et Implémentation Python

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Decision Tree (Regression): Principles, Examples, and Python Implementation

24/01/2025 - by Salah YAHIAOUI

The decision tree applied to regression. Complete guide with variance, MSE as split criterion, and scikit-learn Python code.

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Arbre de Décision (Classification) : Guide Complet — Principes, Exemples et Implémentation Python

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Decision Tree (Classification): Principles, Examples, and Python Implementation

23/01/2025 - by Salah YAHIAOUI

The decision tree, an interpretable and powerful classifier. Complete guide with split criteria (Gini, entropy), pruning, and scikit-learn Python code.

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SVR (Support Vector Regression) : Guide Complet — Principes, Exemples et Implémentation Python

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SVR (Support Vector Regression): Principles, Examples, and Python Implementation

22/01/2025 - by Salah YAHIAOUI

SVR applies the SVM philosophy to regression. Complete guide with epsilon-insensitive tube, kernels, and scikit-learn Python code.

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SVM à Noyau Polynomial : Guide Complet — Principes, Exemples et Implémentation Python

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Polynomial Kernel SVM: Principles, Examples, and Python Implementation

21/01/2025 - by Salah YAHIAOUI

The polynomial kernel SVM for non-linear boundaries of controlled degree. Complete guide with polynomial kernel and scikit-learn Python code.

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SVM à Noyau RBF : Guide Complet — Principes, Exemples et Implémentation Python

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SVM with RBF Kernel: Principles, Examples, and Python Implementation

20/01/2025 - by Salah YAHIAOUI

SVM with RBF kernel for non-linear boundaries. Complete guide with kernel trick, gamma, and scikit-learn Python code.

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SVM Linéaire : Guide Complet — Principes, Exemples et Implémentation Python

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Linear SVM: Principles, Examples, and Python Implementation

19/01/2025 - by Salah YAHIAOUI

Master Linear SVM, the maximum margin classifier. Complete guide with hyperplane, soft margins, and scikit-learn Python code.

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

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Bernoulli Naive Bayes: Principles, Examples, and Python Implementation

18/01/2025 - by Salah YAHIAOUI

Classification with Bernoulli Naive Bayes for binary data. Complete guide with theory, Laplace smoothing, and scikit-learn Python code.

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

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Multinomial Naive Bayes: Principles, Examples, and Python Implementation

17/01/2025 - by Salah YAHIAOUI

Multinomial Naive Bayes, the king of text classification. Complete guide with Laplace smoothing, TF-IDF, and scikit-learn Python code.

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