GitHub / RezaSaadatyar / Machine-Learning-in-Python
This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.
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Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 8.01 MB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: adaboost, classification, clustering, decision-trees, feature-extraction-methods, feature-selection-methods, gaussian-mixture-model, independent-component-analysis, k-means-clustering, k-nearest-neighbours, linear-discrimination-analysis, logistic-regression, machine-learning-algorithms, multilayer-perceptron, naive-bayes, principal-component-analysis, random-forest, singular-value-decomposition, support-vector-machine, t-distributed-stochastic