Experiment design project from Columbia University MSAA 5300 course
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Updated
Oct 17, 2022 - HTML
Experiment design project from Columbia University MSAA 5300 course
Lightweight python experiment tracker.
Experiment design and data analysis package
Projects completed for the Data Scientist Nanodegree with Udacity.
figsci package performs many functions in efficient scientific graphics, such as phylogenetic barplot, integrated barplot and scatterplot with statistic, and Gantt Chart.
A/B test user splitter PoC, mainly for research and toy projects
Uplift modeling and estimation via the "Uplift Support Vector Machine".
The goal of this project is to test new landing page whether it can brings significantly higher conversion rate or not.
Flexible ball-drag-and-drop apps for oTree for dictator games or rule-following tasks.
This Streamlit application simulates A/B tests, providing a platform to evaluate the performance of different statistical tests based on data distribution.
This is your the only entry point to deeply understand controlled experiments and begin to use them in practice.
Building a simple text priming experiment using jsPsych
Reproducible, efficient, flexible batch processing using pipelines for sustainable software experiments
Simple and extensible framework for data analysis and machine learning experiments in Python.
a minimalist functioning code module and folder structure, built to teach and exercise with computer-controlled measurements using Python.
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
Frame-differencing method: Automatic extraction of movement from video data
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