https://github.com/dalmia/bayesian_decision_making-datagiri_mumbai
Jupyter notebook accompanying my talk on "Bayesian Decision Making" for DataGiri
https://github.com/dalmia/bayesian_decision_making-datagiri_mumbai
artificial-intelligence data-science datagiri machine-learning maximum-likelihood-estimation python
Last synced: 4 months ago
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Jupyter notebook accompanying my talk on "Bayesian Decision Making" for DataGiri
- Host: GitHub
- URL: https://github.com/dalmia/bayesian_decision_making-datagiri_mumbai
- Owner: dalmia
- License: mit
- Created: 2018-09-08T03:26:49.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-09-08T03:37:39.000Z (almost 8 years ago)
- Last Synced: 2025-04-10T12:40:33.474Z (over 1 year ago)
- Topics: artificial-intelligence, data-science, datagiri, machine-learning, maximum-likelihood-estimation, python
- Language: Jupyter Notebook
- Homepage: https://goo.gl/DrRacz
- Size: 25.4 KB
- Stars: 3
- Watchers: 2
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
# Bayesian Decision Making - Datagiri (Mumbai)
Jupyter notebook accompanying my talk on "Bayesian Decision Making" for DataGiri.
Slides for the talk can be found [here](https://goo.gl/DrRacz).
## Pre-requisites
- numpy
- matplotlib
- pandas
- scipy
- seaborn
- statsmodel
Install them using:
```bash
pip install -r requirements.txt
```
## Acknowledgement
The code for this notebook is not mine and was taken from this [awesome blog post](https://towardsdatascience.com/a-gentle-introduction-to-maximum-likelihood-estimation-9fbff27ea12f).
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