yadevi

yadevi

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pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

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lifelines

Survival analysis in Python

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statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

JuliaTutorials

Learn Julia via interactive tutorials!

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OnlineStats.jl

⚡ Single-pass algorithms for statistics

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ModernDive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

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QuantEcon.jl

Julia implementation of QuantEcon routines

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JuliaBasics

The open source version of book `Julia Programming Basics`

JuliaByExample

Examples of Julia

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healthcareai-r

R tools for healthcare machine learning

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JuliaCourseNotebooks

Jupyter notebooks for the Julia Scientific Programming course on Coursera

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JuliaGraphsTutorials

Tutorials in the form of Jupyter notebooks for the JuliaGraphs ecosystem

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safetyGraphics

Clinical Trial Safety Graphics with R

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StatsLearningByExample.jl

Learn Julia via Examples

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rscripts

Miscellaneous R functions, R report templates, and complete example R analysis scripts in Quarto and RMarkdown

Introduction_to_Julia_tutorials

These are the jupyter notebooks used for intro tutorials to teach Julia

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wizard

Windowed Summarization for Autoregressive Data

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simtutorial

Files to run example simulation study described in Morris, Crowther and White https://arxiv.org/abs/1712.03198

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DrakeModelling

Combining drake workflows with R package development to train and execute a machine learning model

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External-validation-sample-size

Sample size for external validation of a logistic regression based prediction model

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nlp-rladies-bergen

This repository contains material on NLP (prepared for a talk for R-Ladies Bergen)

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SimStudiesR

An introductory tutorial on performing simulation studies using R

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rpsychologist-com

Source code for https://rpsychologist.com

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catscatter

Scatter visualization for categorical features with matplotlib

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lectures

data science Lecture notes for EC 607

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peopleanalytics-regression-book

Handbook of Regression Modeling in People Analytics

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StructuralCausalModels.jl

Initial look at directed acyclic graph (DAG) based causal models in regression.

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