cnai-ds/Experimentation-Product-Analysis cnai-ds/Experimentation-Product-Analysis

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created almost 3 years ago
  • Updated almost 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
cnai-ds/Experimentation-Product-Analysis
github

cnai-ds

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Demonstration of experimentation analysis approach, including A/B testing, A/A testing, and quasi-experimental testing for data driven product decision making.

More Repositories

1

Crop-Yield-Prediction-Satellite-Image

Python data pipeline to acquire, clean, and calculate vegetation indices from Sentinel-2 satellite image. Package is available only for our clients.
10
star
2

Datathon-Health-Risk-Prediction

SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival Forest to suggest improvements to a user.
Jupyter Notebook
6
star
3

Premium-Prediction-Natural-Hazards

Prediction of market premiums for property damage and business interruption insurance products. Added natural hazard data and stacked 3 best models as the final model.
Jupyter Notebook
2
star
4

geoprediction

Jupyter Notebook
1
star