Alternatives and similar repositories for Causal-Impact-Analysis-Demo:

Users that are interested in Causal-Impact-Analysis-Demo are comparing it to the libraries listed below

• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• BigDataRepublic / bdr-analytics-py
  Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…
  ☆30Updated 6 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• IanLondon / pandas_tricks
  A guide to useful pandas features for intermediate-level data mungers
  ☆35Updated 9 years ago
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 5 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆35Updated 4 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 5 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• psu4 / Marketing-Mix-Modeling-
  ☆26Updated 9 years ago
• gjreda / empirical-bayes-book-python
  Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes
  ☆28Updated 7 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 4 years ago
• CamDavidsonPilon / lifestyles
  Work-In-Progress: conjoint analysis in Python
  ☆52Updated 7 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• cambridgespark / pydata-testing-for-data-science
  ☆25Updated 10 months ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 7 years ago
• RAMitchell / xgb-bias-variance
  ☆14Updated 5 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆99Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago