AM207 / 2018spring

Related projects ⓘ

Alternatives and complementary repositories for 2018spring

• AM207 / 2018fall
  ☆35Updated 3 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 6 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 5 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated last year
• thuijskens / thuijskens.github.io
  Repository for thuijskens.github.io
  ☆11Updated last year
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 3 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆45Updated 5 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆73Updated 8 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆19Updated 7 years ago
• JackCaster / Intro_to_PyMC3
  Short introduction to Bayesian statistical modelling with PyMC3
  ☆18Updated 4 years ago
• ChicagoBoothML / ML2016
  BUS 41204: Machine Learning -- Winter 2016
  ☆11Updated 7 years ago
• ChadFulton / pymar
  Markov Switching Models for Statsmodels
  ☆22Updated 8 years ago
• Emaasit / long-range-extrapolation
  Capturing Structure Implicitly from Noisy Time-Series having Limited Data
  ☆0Updated 6 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 7 years ago
• ASPP / ASPP-2018-numpy
  Material for the Advanced Scientific Programming in Python course on advanced numpy
  ☆25Updated 6 years ago
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆17Updated last week
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• gpschool / gpss17
  Gaussian Process and Uncertainty Quantification Summer School 2017
  ☆26Updated last year
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆62Updated 5 years ago
• nealbob / econlearn
  A machine learning toolkit for economists
  ☆18Updated 8 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 9 years ago
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆15Updated 4 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 4 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆33Updated 7 years ago
• NumEconCopenhagen / lectures-2019
  Slides and code used in the lectures
  ☆13Updated 5 years ago