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https://github.com/mohd-faizy/stats-with-data

This repository is a resource for learning and applying statistics in data science. It contains code examples and explanations for many common statistical concepts, from descriptive statistics through regression and time series analysis.
https://github.com/mohd-faizy/stats-with-data

binomial-distribution chi2 correlation hypothesis-testing interquartile-ranges mean median poisson-distribution qqplot statistics ttest-1samp ztest

Last synced: 27 days ago
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Host: GitHub
URL: https://github.com/mohd-faizy/stats-with-data
Owner: mohd-faizy
License: mit
Created: 2023-04-08T20:54:44.000Z (almost 2 years ago)
Default Branch: main
Last Pushed: 2023-06-21T10:46:35.000Z (over 1 year ago)
Last Synced: 2024-11-13T09:47:09.121Z (3 months ago)
Topics: binomial-distribution, chi2, correlation, hypothesis-testing, interquartile-ranges, mean, median, poisson-distribution, qqplot, statistics, ttest-1samp, ztest
Language: Jupyter Notebook
Homepage:
Size: 7.49 MB
Stars: 1
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Statistics for Data Science

![Author](https://img.shields.io/badge/author-faizy-red)

[![GitHub license](https://img.shields.io/github/license/mohd-faizy/Stats-with-Data)](https://github.com/mohd-faizy/Stats-with-Data/blob/main/LICENSE)

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![Last Commit](https://img.shields.io/github/last-commit/mohd-faizy/Stats-with-Data)

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Welcome to the *Statistics for Data Science* repository! This repository aims to provide a comprehensive collection of resources, ipynb-tuts, and examples related to statistical techniques and their application in data science. Whether you are a beginner or an experienced data scientist, you'll find valuable content to enhance your understanding of statistics and their role in data-driven decision making.



  



## Contents

- **Descriptive Statistics**

  - `Mean`

  - `Median`

  - `Mode`

  - `Standard Deviation`

  - `Variance`

  - `Covariance`

  - `Correlation`

  - `Quartiles`

  - `IQR`

  - `Box Plots`

- **Inferential Statistics**

  - *Probability Distributions*

    - `Binomial`

    - `Poisson`

    - `Normal`

  - *Sampling*

    - `Confidence Intervals`

    - `Sample Size Selection`

    - `Statistical Significance`

  - *Hypothesis Testing*

    - `Z-tests`

    - `T-tests`

    - `ANOVA`

    - `Chi-Square tests ` 

- **Regression**

  - `Simple Linear Regression`

  - `Multiple Linear Regression`

  - `Polynomial Regression`

  - `Logistic Regression`

- **Time Series**

  - `Trend`

  - `Seasonality`

  - `Autocorrelation`

  - `ARIMA Models ` 

- **Statistical Visualization**

  - `Histograms`

  - `Density Plots`

  - `Q-Q Plots`

  - `Pair Plots`

  - `Correlation Heatmaps`

### Hypothesis Testing 



  





  



## Resources

Some useful resources for statistics in data science:

- [Kaggle Learn Statistics Course](https://www.kaggle.com/learn/statistics)

- [Khan Academy Statistics and Probability](https://www.khanacademy.org/math/statistics-probability)

- [Introduction to Statistical Thought by Michael Lavine](https://www.statthought.plus/)

- [Think Stats by Allen B. Downey](https://greenteapress.com/wp/think-stats-2e/)

- [YT Krish Naik](https://www.youtube.com/@krishnaik06)

- [Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurelien Geron](https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/)

- [StatQuest with Josh Starmer](https://www.youtube.com/@statquest)

## Statistics Map

![statistics](https://github.com/mohd-faizy/Stats-with-Data/blob/main/_jpg/STATISTICS.jpg)

### Contributing

This repository is open source and contributions are welcome. If you have any ideas for hacks or tips, or if you find any errors, please feel free to open an issue or submit a pull request.

### License

This repository is licensed under the [MIT License](https://github.com/mohd-faizy/Stats-with-Data/blob/main/LICENSE).

#### Thanks for checking out this repository! I hope you find it helpful

---



  



### $\color{skyblue}{\textbf{Connect with me:}}$

[][twitter]

[][linkedin]

[][Portfolio]

[twitter]: https://twitter.com/F4izy

[linkedin]: https://www.linkedin.com/in/mohd-faizy/

[Portfolio]: https://mohdfaizy.com/