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bootstrap-sampling

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Akash1070 / Machine-Learning-

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Learning Machine Learning Through Data

python data-science machine-learning naive-bayes linear-regression logistic-regression support-vector-machine random-search k-nearest-neighbours hierarchical-clustering receiver-operating-characteristic k-means-clustering leave-one-out-cross-validation area-under-curve bootstrap-sampling k-fold-cross-validation underfitting-overfitting grid-search-cv ensemble-techniques
  • Updated Sep 7, 2022
  • Jupyter Notebook

devosmitachatterjee2018 / Statistical_Inference

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The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.

bayesian-inference maximum-likelihood-estimation categorical-data nonparametric-statistics analysis-of-variance linear-least-squares bootstrap-sampling parametric-inference sampling-designs
  • Updated Nov 22, 2021
  • R

Lefteris-Souflas / Election-Classification-and-Clustering-Analysis

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Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.

r statistics random-forest clustering cross-validation variable-importance classification support-vector-machine predictive-analytics data-cleaning decision-tree model-evaluation hierarchical-clustering model-interpretation bootstrap-sampling agglomerative-algorithm silhouette-analysis
  • Updated Apr 17, 2024
  • R

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