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classification-algorithims

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srafay / Machine_Learning_A-Z

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Learning to create Machine Learning Algorithms

machine-learning-algorithms datascience naive-bayes-classifier logistic-regression support-vector-machine polynomial-regression decision-tree-classifier dataprocessing classification-algorithims random-forest-regressor support-vector-regression multiple-regression decision-tree-regression k-means-implementation-in-python k-means-clustering kernel-svm random-forest-classifier simple-linear-regression k-nearest-neighbors machine-learning-az
  • Updated Jun 15, 2021
  • Python

rudrajit1729 / Machine-Learning-Codes-And-Templates

Star 9

Codes and templates for ML algorithms created, modified and optimized in Python and R.

feature-selection datascience feature-extraction thompson-sampling dimensionality-reduction ucb ann regression-models nlp-machine-learning kmeans-clustering apriori-algorithm hierarchical-clustering classification-algorithims parameter-tuning regression-algorithms xgboost-model kfold-cross-validation cnn-classification eclat-algorithm
  • Updated Mar 28, 2020
  • Python

barzansaeedpour / machine-learning-roadmap-with-examples

Star 8

This repository contains a roadmap with examples for machine learning, providing a step-by-step guide to help you navigate the field and acquire the necessary knowledge and skills

machine-learning roadmap neural-network machine-learning-algorithms supervised-learning semi-supervised-learning unsupervised-learning classification-algorithims clustering-methods machine-learning-roadmap
  • Updated Jun 10, 2023
  • Jupyter Notebook

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