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k-fold-cross-validation

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AndreasScharnetzki / MachineLearningFundamentals

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A notebook about commonly used machine learning algorithms.

python machine-learning linear-regression sklearn naive-bayes-classifier supervised-learning classification logistic-regression matplotlib regularization unsupervised-learning hyperparameter-tuning decision-tree-classifier kmeans-clustering svm-classifier multivariate-regression multi-class-classification gridsearchcv value-prediction k-fold-cross-validation
  • Updated Feb 23, 2022
  • Jupyter Notebook

daodavid / classic-ML

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Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

python machine-learning entropy probability regression naive-bayes-classifier pca linear gradient-descent ridge-regression softmax-regression maximum-likelihood-estimation cross-entropy principle-component-analysis lasso-regression information-gain sigmoid-function baysian suprise k-fold-cross-validation
  • Updated Jun 28, 2022
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randleon / Feature-Selection-and-Dimensionality-Reduction

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Data science project applying feature selection/dimensionality reduction techniques to identify the explanatory variables to be included within a linear regression model that predicts the number of times an online news article will be shared using Python 3 in a Juypter Notebook.

sklearn python3 k-fold-cross-validation juypter-notebook featureselection dimensionalityreduction linearreggresion
  • Updated Dec 11, 2023
  • Jupyter Notebook

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