Alternatives and similar repositories for AdvPredictiveModeling_withPython:

Users that are interested in AdvPredictiveModeling_withPython are comparing it to the libraries listed below

• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 3 years ago
• UCIDataScienceInitiative / SpaceTime
  ☆9Updated 7 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• esdalmaijer / cluster_power
  Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…
  ☆13Updated 4 years ago
• UCIDataScienceInitiative / PredictiveModeling_withPython
  Notebooks for the Course
  ☆37Updated 7 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• joelgrus / odscnet
  repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"
  ☆12Updated 7 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 5 years ago
• paobranco / Pre-processingApproachesImbalanceRegression
  Pre-processing Approaches for Imbalanced Distributions in Regression
  ☆11Updated 3 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆24Updated 3 years ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 2 years ago
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆18Updated last week
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 5 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 4 years ago
• robsalomone / Deep-Probabilistic-Models-Course
  Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021
  ☆10Updated 3 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• gpschool / gpss17
  Gaussian Process and Uncertainty Quantification Summer School 2017
  ☆26Updated 2 years ago
• berkeley-stat159-f17 / stat159-f17
  Reproducible & Collaborative Data Science, Fall 2017 - Main class website
  ☆23Updated 7 years ago
• NicolasDurrande / Gaussian-Processes-short-course
  ☆14Updated 7 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 2 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• jonathan-taylor / stats-lecture-notes
  Statistics lecture notes
  ☆34Updated 8 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 7 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 9 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 9 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago