GitHub - kats2296/Classification_Models_In_ML: Classification is a supervised learning approach in which the computer program learns from the data input given to it and then uses this learning to classify new observation. · GitHub

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Section 14 - Logistic Regression		Section 14 - Logistic Regression
Section 15 - K-Nearest Neighbors (K-NN)		Section 15 - K-Nearest Neighbors (K-NN)
Section 16 - Support Vector Machine (SVM)		Section 16 - Support Vector Machine (SVM)
Section 19 - Decision Tree Classification		Section 19 - Decision Tree Classification
Section 20 - Random Forest Classification		Section 20 - Random Forest Classification

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Classification is a supervised learning approach in which the computer program learns from the data input given to it and then uses this learning to classify new observation.

python machine-learning machine-learning-algorithms classification-algorithm

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