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Machine Learning Cheatsheet

Complete reference guide for Machine Learning algorithms and concepts

Supervised Learning

Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM, KNN, Naive Bayes

Unsupervised Learning

K-Means, Hierarchical Clustering, PCA, t-SNE, DBSCAN

Deep Learning

Neural Networks, CNN, RNN, LSTM, GAN, Transformers

Model Evaluation

Accuracy, Precision, Recall, F1-Score, ROC-AUC, Confusion Matrix

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