amueller / sklearn-one-day

Related projects: ⓘ

• amueller / aml
  Applied Machine Learning with Python
  ☆76Updated 5 months ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆126Updated last year
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 5 years ago
• dirty-data-science / python
  Tutorial material on machine learning with dirty data in Python
  ☆62Updated 2 months ago
• reshamas / ds_resources
  Data Science Resources
  ☆78Updated last month
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆87Updated 3 weeks ago
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 3 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…
  ☆112Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated last year
• chrisalbon / sklearn-flask-docker
  ☆117Updated this week
• gvwilson / 12-design
  ☆127Updated this week
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆51Updated 3 years ago
• EricSchles / datascience_book
  ☆131Updated 3 months ago
• rasbt / R-notes
  Various R lang related material for teaching.
  ☆22Updated 3 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆123Updated 4 years ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆28Updated 4 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆26Updated 3 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 4 years ago
• vikua / ts-workshop
  ☆13Updated last year
• nickb- / tensorflow-probability-100days
  100 Days of Experimenting with TensorFlow Probability
  ☆39Updated 4 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆162Updated 4 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆139Updated 4 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 4 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆104Updated 5 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated last year
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆23Updated 3 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆36Updated 4 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆41Updated last year
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆60Updated 5 years ago