kidaufo / StatisticalModeling

Related projects ⓘ

Alternatives and complementary repositories for StatisticalModeling

• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆35Updated last month
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆18Updated 6 months ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆36Updated 3 years ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 3 years ago
• pymc-labs / research
  Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)
  ☆23Updated this week
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆17Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆68Updated 3 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated last year
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆37Updated 3 weeks ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆15Updated last year
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆29Updated 9 months ago
• finlytics-hub / churn_model-survival-analysis
  ☆13Updated 4 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆27Updated last year
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated last year
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆45Updated 3 years ago
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆21Updated 2 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆30Updated last week
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆14Updated 5 months ago
• jbkunst / klassets
  ☆64Updated last year
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆51Updated 2 months ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 4 years ago
• AlbertoAlmuinha / boostime
  The Tidymodels Extension for Time Series Boosting Models
  ☆56Updated 2 years ago
• pbiecek / xai_stories
  XAI Stories. Case studies for eXplainable Artificial Intelligence
  ☆29Updated 4 years ago
• AlxndrMlk / PyDataGlobal2021
  ☆12Updated 3 years ago
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆24Updated 2 years ago