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bagging-trees

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StarlangSoftware / Classification-Py

Star 13

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm bagging-trees autoencoder-classification
  • Updated Dec 17, 2024
  • Python

StarlangSoftware / Classification

Star 7

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms
  • Updated Mar 23, 2025
  • Java

StarlangSoftware / Classification-CPP

Star 7

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms
  • Updated Jan 26, 2025
  • C++

david-adewoyin / machine_learning_basics

Star 3

Plain Python Implementation of popular machine learning algorithms from scratch. Algorithms includes: Linear Regression, Logistic Regression, Softmax, Kmeans, Decision Tree,Bagging, Random Forest, etc.

python machine-learning algorithms random-forest clustering linear-regression machine-learning-algorithms logistic-regression regularization perceptron kmeans decision-trees ridge-regression polynomial-regression overfitting k-nearest-neighbors bagging-trees
  • Updated Oct 31, 2022
  • Jupyter Notebook

uniquevineet / Online_Shoppers_Pattern_Analysis

Star 1

Analyse the factors which lead to online shopping on a website and building predictive models for it.

random-forest machine-learning-algorithms statistical-analysis naive-bayes-classifier supervised-learning logistic-regression boosting-algorithms decision-tree decision-tree-classifier pandas-profiling multivariate-analysis smote classification-algorithm gradient-boosting supervised-machine-learning xgboost-algorithm random-forest-classifier classification-model bagging-trees adaboost-algorithm
  • Updated Dec 8, 2019
  • Jupyter Notebook

MaoIlich / Project-3-Ensemble-Techniques---Term-Deposit-Sale

Star 1

Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio

graphviz supervised-learning logistic-regression decision-tree-classifier gradient-boosting-classifier random-forest-classifier ensemble-models bagging-trees lightbgm xgboost-classifier randomizedsearchcv adaboostclassifier
  • Updated Aug 2, 2020
  • Jupyter Notebook

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