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h2oai / h2o-3

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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

python java data-science machine-learning opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl h2o-automl
  • Updated Jun 13, 2024
  • Jupyter Notebook

ahmadrezasedghi / iris_classification

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This repository contains a project using the Iris dataset for data visualization, outlier detection, normalization, and classification. The project includes models like GaussianNB, RandomForestClassifier, and DecisionTreeClassifier, with hyperparameter tuning and PCA for dimensionality reduction.

visualization python data-science machine-learning data-mining correlation naive-bayes eda pca classification dimensionality-reduction iris decision-tree-classifier covariance f1-score z-score iqr random-forest-classifier gridsearchcv iris-classification
  • Updated Jun 12, 2024
  • Jupyter Notebook

SCUS3 / Classification-Model-Evaluation

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This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.

naive-bayes scikit-learn support-vector-machines multi-layer-perceptron k-nearest-neighbours linear-discriminant-analysis pandas-library matpolotlib precision-recall-f1-score-graph classification-model-evaluation
  • Updated Jun 6, 2024
  • Python

RezaSaadatyar / Machine-Learning-in-Python

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This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

random-forest clustering naive-bayes machine-learning-algorithms classification logistic-regression support-vector-machine adaboost decision-trees gaussian-mixture-model principal-component-analysis k-nearest-neighbours singular-value-decomposition k-means-clustering multilayer-perceptron independent-component-analysis t-distributed-stochastic feature-selection-methods feature-extraction-methods linear-discrimination-analysis
  • Updated Jun 4, 2024
  • Jupyter Notebook

Haleshot / AI-ML-DL-NLP-CV

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This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.

machine-learning deep-neural-networks computer-vision deep-learning naive-bayes machine-learning-algorithms artificial-intelligence naive-bayes-classifier artificial-neural-networks feedforward-neural-network backpropagation-learning-algorithm decision-trees support-vector-machines knn nlp-machine-learning lstm-neural-networks artificial-intelligence-algorithms machinelearning-python natural-language-procressing
  • Updated Jun 3, 2024
  • Jupyter Notebook

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