Uplift modeling and estimation via the "Uplift Support Vector Machine".
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Updated
May 21, 2017 - Python
Uplift modeling and estimation via the "Uplift Support Vector Machine".
A walk through A/B Tests for new feature
Frame-differencing method: Automatic extraction of movement from video data
PsyGlass: An open-source framework for implementing Google Glass in research settings
A/B test user splitter PoC, mainly for research and toy projects
Building a simple text priming experiment using jsPsych
Simple and extensible framework for data analysis and machine learning experiments in Python.
Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design
Experiment design and data analysis package
Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
El diseño de experimentos es uno de los pilares de la estadística y la ciencia de datos. En este tutorial te explic, que son, como se hacen y los conceptos clave como intervalos de confianzo, p-values, z-scores y más.
Jupyter Notebooks for visualizing and exploring empirical model building. http://charlesreid1.github.io/empirical-model-building
Adaptive Design Optimization for Experimental Tasks
The goal of this project is to test new landing page whether it can brings significantly higher conversion rate or not.
a minimalist functioning code module and folder structure, built to teach and exercise with computer-controlled measurements using Python.
Experiment design project from Columbia University MSAA 5300 course
Projects completed for the Data Scientist Nanodegree with Udacity.
Lightweight python experiment tracker.
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