nerissanance

nerissanance's Stars

• guipsamora/pandas_exercises

  Practice your pandas skills!

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• HugoBlox/hugo-blox-builder

  🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站！

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• iphysresearch/DataSciComp

  A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

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• nealjean/predicting-poverty

  Combining satellite imagery and machine learning to predict poverty

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• rafaelbailo/betterposter-latex-template

  LaTeX Template for Mike Morrison's #betterposter

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• kaz-yos/tableone

  R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

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• dlab-berkeley/Machine-Learning-in-R

  Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

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• dlab-berkeley/R-Fundamentals-Legacy

  D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

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• dlab-berkeley/Python-Machine-Learning

  D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.

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• stablemarkets/intro_bayesian_causal

  Repository for Introduction to Bayesian Estimation of Causal Effects

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• romainkp/stremr

  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

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• Data-on-the-Mind/2017-summer-workshop

  Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)

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• joseph-rickert/BARUG

  This repository holds presentations that were given at Bay Area useR Group meeitngs

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• berkeley-stat243/stat243-fall-2020

  This repository holds all course materials for the fall 2020 offering of Statistics 243 at UC Berkeley.

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• peterstoltze/LeastSquares

  Visualization of the Ordinary Least Squares estimation of slope for a simple linear model

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• tagteam/heaven

  Fast routines for large registry data

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• MHResearchNetwork/MHRN-Central

  Public Resources from the Mental Health Research Network

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• tagteam/registerTargets

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• tagteam/TMLE_for_breakfast

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• ck37/ppmi-challenge-2016

  Parkinson's Progression Marker Initiative data science challenge, 2016

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• BITSS/INSP2017

  Materials for May 2017 BITSS Reproducibility Workshop at INSP, Cuernavaca, Mexico

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• ck37/kp-dsc-2018

  Kaiser Permanente Data Science Competition 2018

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• UCB-Epi-R/ucb-epi-r.github.io

  Tutorials, homework, and readings for epidemiologists learning to use R

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