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Statistics-and-Machine-Learning-with-R / Statistical-Methods-and-Machine-Learning-in-R

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This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

machine-learning statistics rstudio t-test supervised-learning pca artificial-neural-networks decision-tree pcoa mann-whitney unsupervised-machine-learning data-evaluation anova-test anosim-test u-test
  • Updated May 4, 2023
  • R

dple / Statistical_data_analysis

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This project implements in Python some common statistical analysis methods used in data analysis, including Entropy, Mutual Information, Kolmogorov–Smirnov test, Kullback-Leibler divergence (KLD), AB tests (Mann-Whitney U and t-tests)

python statistics entropy signal-processing matlab information-theory least-squares t-test kullback-leibler-divergence mutual-information ab-tests statistical-data-analysis ks-test side-channel-analysis u-test mann-whitney-u-test ecdf-distance
  • Updated Dec 10, 2024
  • MATLAB

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