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liuyd56's Projects

dviz.supp icon dviz.supp

Supporting materials for Claus Wilke's data visualization book

fivethirtyeight icon fivethirtyeight

R package of data and code behind the stories and interactives at FiveThirtyEight

handson-ml icon handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hu-berlin icon hu-berlin

Analysis code produced at the Humboldt-Universität zu Berlin

mathematics-statistics-for-data-science icon mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

mlr icon mlr

Machine Learning in R

paswr2e-book icon paswr2e-book

A website for the book "Probability and Statistics with R, Second Edition" (http://alanarnholt.github.io/PASWR2E-Book/)

pmartr icon pmartr

The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data. This includes data transformation, specification of groups that are to be com

r-2 icon r-2

Exercises (incl. analyses) with R language (math+statistics)

r4ds icon r4ds

R for data science: a book

r_tips icon r_tips

A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning

rbook icon rbook

Source files for "Learning Statistics with R"

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