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Adding article on Random Number generation to various places in the repo
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neomatrix369 committed Jan 21, 2020
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- [Website to generate syntheric data](https://www.mockaroo.com)
- [Synthetic data generation — a must-have skill for new data scientists](https://towardsdatascience.com/synthetic-data-generation-a-must-have-skill-for-new-data-scientists-915896c0c1ae)
- [Python Random Data Generation](https://honingds.com/blog/python-random/)
- [Random Number Generation and Sampling Methods](https://www.codeproject.com/Articles/1190459/Random-Number-Generation-and-Sampling-Methods)
- [How to Generate Test Datasets in Python with scikit-learn](https://machinelearningmastery.com/generate-test-datasets-python-scikit-learn/)
- Python packages
- [scikit datasets package](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.datasets)
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1 change: 1 addition & 0 deletions details/maths-stats-probability.md
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- Abductive Learning: Towards Bridging Machine Learning and Logical Reasoning: [Slides](http://daiwz.net/org/slides/ABL-meetup.html) | [Video](https://www.youtube.com/watch?v=ETHrFxiFIUM) | [GitHub](https://github.com/AbductiveLearning/ABL-HED)
- [Bayesian Framework](https://ekroc.weebly.com/uploads/2/1/6/3/21633182/bayesworkshop1.pdf)
- [Implementing the Bayesian Framework](https://ekroc.weebly.com/uploads/2/1/6/3/21633182/bayesworkshop2.pdf)
- [Random Number Generation and Sampling Methods](https://www.codeproject.com/Articles/1190459/Random-Number-Generation-and-Sampling-Methods#Weighted_Choice)
- [Data Science](../courses.md#data-science) in [Courses](../courses.md#courses)

# Contributing
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