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Updates of Resources #39

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Update Resources.md
ShashankaShekharSharma Jan 13, 2024
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Update Resources.md
ShashankaShekharSharma Jan 13, 2024
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11 changes: 5 additions & 6 deletions Statistics-Probability/Resources.md
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# 7. PROBABILITY AND STATISTICS <sub><sup><sub>([back &uarr;](#table-of-contents))</sub></sup></sub>
# Python

- [X] [Probabilistic Modeling and Bayesian Networks](http://www.ehu.eus/en/web/kisa/prestakuntza-programa) (by Borja Calvo and Aritz Pérez. *Master in Computational Engineering and Intelligent Systems*, University of the Basque Country). 3 ECTS ~ 75 hours.
1. Introduction to probabilistic modeling.
2. Modeling of joint probabilities through Bayesian networks.
3. Automatic learning of Bayesian networks.
4. Applications of Bayesian networks: supervised classification.
- [X] [Statistical Thinking in Python (Part 1)](https://www.datacamp.com/courses/statistical-thinking-in-python-part-1) (by Justin Bois at DataCamp). ~ 3 hours.
1. Graphical exploratory data analysis.
2. Quantitative exploratory data analysis.
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2. Shakespeare gets Sentimental.
3. Analyzing TV News.
4. Singing a Happy Song (or Sad?!).
# Basics
- [ ] [Statistics Course from IIT Madras](https://youtube.com/playlist?list=PLZ2ps__7DhBYrMs3zybOqr1DzMFCX49xG&si=8DWcC80syE-iFY-c)
1. Basics of Statistics
2. Important Concepts of Probability
3. Important formulas of Statistics and Probability


# Contributing
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