ida-j

ida-j's Stars

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.4k1.8k19418k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.9k1.4k2457.9k

• rasbt/python-machine-learning-book

  The "Python Machine Learning (1st edition)" book code repository and info resource

  Language:Jupyter Notebook12.3k796564.4k

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.1k86398783

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  3k1109459

• toddwschneider/nyc-taxi-data

  Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

  Language:R2k12725567

• jadianes/spark-py-notebooks

  Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

  Language:Jupyter Notebook1.6k9810916

• coin-or/Ipopt

  COIN-OR Interior Point Optimizer IPOPT

  Language:C++1.4k45595285

• grf-labs/grf

  Generalized Random Forests

  Language:C++97548505251

• GoogleCloudPlatform/ml-on-gcp

  Machine Learning on Google Cloud Platform

  Language:Python4896024178

• dgkim5360/the-elements-of-statistical-learning-notebooks

  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

  Language:Jupyter Notebook284171126

• dgrtwo/dgrtwo.github.com

  My website

  Language:HTML240317209

• gsbDBI/ExperimentData

  Language:HTML230250118

• demirermert/MLInference

  Language:R958063

• sdaulton/TaxiPrediction

  Language:Jupyter Notebook7612141

• cbellei/abyes

  A Python package for Bayesian A/B Testing

  Language:Python617427

• nycdatasci/bootcamp006_project

  Bootcamp 6 Student Project Presentation

  Language:HTML4210144

• ashish-kamboj/Market-Mix-Modeling

  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

  Language:R404128

• tcassou/babtest

  Python package for Bayesian Tests / AB Testing

  Language:Python40368

• Vidogreg/bayes-ab-testing

  Calculators for evaluating A/B tests using Bayesian inference

  Language:R362016

• psu4/Marketing-Mix-Modeling-

  Language:Python263111

• kjung/scikit-learn

  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.

  Language:Python22236

• rkthakur/mediamixmodeling

  A reference application to demonstrate simple Media Mix Modeling (MMM).

  Language:JavaScript209287

• metterlein/spectral_clustering

  Language:Jupyter Notebook18207

• tdincer/abtest

  Bayesian A/B testing with Thompson Sampling

  Language:Jupyter Notebook4202

• ljofreflor/mkmix

  marketing mix: mixed linear hierarchical model to estimate the price elasticity of level-brand such random effect.

  Language:R3100

• gogolaylago/media-mix-model

  Multiple linear regression and 3D visualization with R.

  Language:R2201

• Squatt/MediaMixProject

  Language:Python137