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This post serves as a complete guide to the most important algorithms used in data analysis today. You can for offline reference. data analysis algorithms pdf
Data has labels? ├─ Yes → Supervised │ ├─ Output continuous? → Regression (Linear, Random Forest) │ └─ Output categorical? → Classification (Logistic, Decision Tree, Naïve Bayes) └─ No → Unsupervised ├─ Want groups? → Clustering (K-Means, DBSCAN) └─ Want fewer features? → Dimensionality reduction (PCA) Not all PDFs are created equal