ankitbit / Advanced_Statistical_Inference

Related projects: ⓘ

• isidroc / conformal
  Conformal prediction in R
  ☆31Updated 5 years ago
• joshuacortez / survival-analysis-blog
  An introduction to survival analysis and its application in telco customer churn.
  ☆9Updated 7 years ago
• juanklopper / Python_for_Medical_Statistics
  YouTube course using IPython and Jupyter notebooks to do statistical analysis.
  ☆18Updated 8 years ago
• stefan-jansen / topic-modeling
  ☆14Updated last year
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 4 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆61Updated 4 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• brockk / clintrials
  Clinical trial designs and methods in Python
  ☆19Updated 7 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated last year
• luslab / MLehealth
  Machine learning on electronic health records
  ☆11Updated 6 years ago
• yanxht / rare
  Linear Model with Tree-Based Lasso Regularization for Rare Feature Selection
  ☆10Updated 2 years ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆29Updated 2 years ago
• davideguatta / tableau_portfolio_optimization
  ☆13Updated 5 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated last year
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆23Updated 7 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 6 years ago
• joehoeller / AutoML-with-Genetic-Algorithms-to-Accurately-Predict-Customer-Churn
  ☆12Updated this week
• mims-harvard / fusenet
  Network inference by fusing data from diverse distributions
  ☆14Updated 7 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆14Updated 5 years ago
• AlyssaYelle / StochasticProcesses
  ☆10Updated 6 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• mlhcmit / recitations
  Here we will post recitation materials.
  ☆9Updated 4 years ago
• clinicalml / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆11Updated 8 years ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆24Updated 3 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆28Updated last year
• henrikbostrom / RandomForest
  Julia implementation of random forests for classification and regression with conformal prediction
  ☆15Updated 6 years ago
• taheris / BRML.jl
  Julia translation for David Barber's Bayesian Reasoning and Machine Learning MATLAB toolbox
  ☆15Updated 8 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆27Updated 9 years ago