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classification-algorithims

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srafay / Machine_Learning_A-Z

Star 383

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

Hashehri / Network-Traffic-Classification-UNSW-NB15

Star 18

Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

machine-learning ai deep-learning random-forest sklearn python3 logistic-regression pickle network-analysis network-security classification-algorithims knn-classification voting-classifier xgboost-algorithm stacking-ensemble decsion-tree
  • Updated Dec 19, 2021
  • Jupyter Notebook

rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind

Star 13

The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

pipeline cross-validation classification-algorithims sklearn-metrics randomizedsearchcv train-validation-test smote-sampling random-under-sampling
  • Updated Jan 20, 2022
  • Jupyter Notebook

rudrajit1729 / Machine-Learning-Codes-And-Templates

Star 8

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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