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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

h2oai / h2o-3

Star 6.8k

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 6, 2024
  • Jupyter Notebook

RaimbekovA / credit_card_fraud_detection_using_machine_learning

Star 11

Bank card fraud detection using machine learning. Web application using Streamlit framework

data-science machine-learning naive-bayes data-analysis logistic-regression credit-card-fraud-detection decison-trees credit-card-fraud-detection-using-machine-learning bank-card-fraud-detection-using-machine-learning bank-card-fraud-detection fraud-detection-using-machine-learning
  • Updated Jun 5, 2024
  • Python

RezaSaadatyar / Machine-Learning-in-Python

Star 2

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

Star 0

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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