Statistics-and-probability
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| Statistics-and-probability | facet | |
|---|---|---|
| 2 | 5 | |
| 3 | 471 | |
| - | - | |
| 0.0 | 5.6 | |
| about 2 years ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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Statistics-and-probability
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Functions for statistical inference
I wrote functions for statistical inference according to normal distribution with examples easy to understand. Please fork me and star me if you like it and find it useful. Functions for statistical inference. In the same repo, you can find more useful things, from BOX-COX transformations, VIF, Tukey's lambda for modelling different distributions, Gibbs Sampling, etc.
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I am sharing interesting codes for improving programming for data science and ML, from approximation of pi number to the Monte Carlo simulation of Montichol's paradox. Please share something similar if you have it or fork me if you liked it
Here also you can find the some basic statistical stuff: https://github.com/Vitomir84/Statistics-and-probability
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/r/technology top posts: Mar 1, 2021
FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.\ (0 comments)
- FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.
- Human-Explainable AI
- Facet: ML model inspection and model-based simulation for better explanations
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