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holdout

Here are 11 public repositories matching this topic...

Machine-Learning-Toolbox

JingweiToo / Machine-Learning-Toolbox

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

data-science random-forest naive-bayes machine-learning-algorithms cross-validation classification gaussian-mixture-models support-vector-machine confusion-matrix decision-tree linear-discriminant-analysis holdout ensemble-classifier leave-one-out-cross-validation k-nearest-neighbor

Updated Jan 10, 2021
MATLAB

bmcmenamin / thresholdOut-explorations

playing with Dwork's adaptive holdout and how to use it for a grid-search

grid-search differential-privacy holdout overfitting thresholdout dwork

Updated Feb 22, 2018
Jupyter Notebook

tkonopka / Rthresholdout

R implementation of reusable holdout

machine-learning holdout

Updated Sep 16, 2015
HTML

prakHr / NeuralNetworksAndFuzzyLogic

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

matlab logistic-regression ridge-regression keras-models kmeans-clustering multilayer-perceptron-network radial-basis-function extreme-learning-machine stochastic-gradient-descent maximum-likelihood-estimation maximum-a-posteriori-estimation iris-dataset cnn-architecture holdout likelihood-ratio-test kfold-cross-validation xor-neural-network stacked-autoencoder and-gate-implementation sklearn-metrics

Updated Nov 20, 2022
Jupyter Notebook

jman-9 / linear-regression-practice

Practice of Linear Regression

linear-regression linear-equations platform-independent ridge-regression holdout linear-system system-of-linear-equations

Updated Mar 7, 2021
C++

JingweiToo / Machine-Learning-Toolbox-Python

This toolbox offers 6 machine learning methods including KNN, SVM, LDA, DT, and etc., which are simpler and easy to implement.

data-science data-mining random-forest naive-bayes classification confusion-matrix support-vector-machines decision-tree linear-discriminant-analysis holdout leave-one-out-cross-validation k-nearest-neighbors k-fold-cross-validation

Updated Jan 10, 2021
Python

JingweiToo / Machine-Learning-Regression-Toolbox

This toolbox offers 7 machine learning methods for regression problems.

machine-learning neural-network linear-regression regression ridge-regression elastic-net lasso-regression holdout support-vector-regression decision-tree-regression leave-one-out-cross-validation k-fold-cross-validation

Updated Jan 10, 2021
Python

VivianeSouza923 / Diabetes_MachineLearning

opencv numpy sklearn pandas matplotlib mlp svm-model quadratic-discriminant-analysis classification-algorithm lbp holdout knn-classification

Updated Mar 6, 2021
Jupyter Notebook

Aysenuryilmazz / TelecomCustomersChurnPrediction

churn prediction for telecom company

visualization svm naive-bayes eda neural-networks aggregation boosting-algorithms grid-search boostrap decision-tree hyperparameter-tuning holdout replacement crossvalidation bagging-ensemble

Updated Feb 27, 2021
Jupyter Notebook

jman-9 / natural-language-processing-practice

Practice of Natural Language Processing

natural-language-processing bag-of-words tf-idf holdout stop-words extracting-morphemes

Updated Mar 23, 2021
C++

Warpedro1 / Machine-learning-behind-the-curtain

This dataset was used to learn more about how some machine learning models work: KNN, Naive Bayes, and Decision Tree. It also includes some model evaluation metrics: Precision, Recall, Accuracy, and F1-Score. These metrics were derived from the confusion matrix.

python numpy seaborn naive-bayes-classifier confusion-matrix decision-trees oversampling holdout pandas-library knn-algorithm accuracy-score standardscaler

Updated Oct 28, 2023
Jupyter Notebook

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