Alternatives and similar repositories for sklearn-one-day

Users that are interested in sklearn-one-day are comparing it to the libraries listed below

• reshamas / ds_resources
  Data Science Resources
  ☆80Updated 8 months ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• EricSchles / datascience_book
  ☆133Updated last year
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 years ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆95Updated last year
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 6 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆74Updated 2 years ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆119Updated 3 years ago
• jphall663 / GWU_rml
  ☆39Updated 6 months ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• nickb- / tensorflow-probability-100days
  100 Days of Experimenting with TensorFlow Probability
  ☆39Updated 6 years ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆90Updated 3 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated last month
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆65Updated 5 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 6 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago