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https://github.com/ahmedosamamath/statistics-basics

A comprehensive guide to applying statistical techniques in machine learning, including data preprocessing, model development, evaluation metrics, and real-world applications. This repository provides beginner-to-advanced insights into the statistical foundations of machine learning.
https://github.com/ahmedosamamath/statistics-basics

artificial-intelligence data-analysis data-science machine-learning statistics

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A comprehensive guide to applying statistical techniques in machine learning, including data preprocessing, model development, evaluation metrics, and real-world applications. This repository provides beginner-to-advanced insights into the statistical foundations of machine learning.

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![Comprehensive Statistics Basics: A complete guide covering fundamental statistics concepts, techniques, and practical applications.](https://capsule-render.vercel.app/api?type=waving&height=300&color=gradient&text=Statistics%20Basics&section=header&desc=A%20complete%20guide%20covering%20fundamental%20statistics%20concepts,%20techniques,%20and%20practical%20applications&descAlignY=55&fontAlignY=35&descAlign=50&descSize=18&animation=fadeIn&fontSize=40 "Statistics Basics")



# Statistics Basics



Welcome to the **Statistics Basics** repository! This repository contains a comprehensive summary of fundamental statistics concepts, techniques, and practical applications. Whether you're a beginner or looking to enhance your skills, this resource will guide you through essential statistical methods and tools.



💡 **Pro Tip**: Star this repository to keep it handy for future reference!



## 📚 Table of Contents



### 1. **Introduction to Statistics**

- [What is Statistics?](./01.%20Introduction%20to%20Statistics/1.%20What%20is%20Statistics.md)

- [Importance of Statistics](./01.%20Introduction%20to%20Statistics/2.%20Importance%20of%20Statistics.md)

- [Types of Data](./01.%20Introduction%20to%20Statistics/3.%20Types%20of%20Data.md)



### 2. **Descriptive Statistics**

- [Measures of Central Tendency](./02.%20Descriptive%20Statistics/1.%20Measures%20of%20Central%20Tendency.md)

- [Measures of Dispersion](./02.%20Descriptive%20Statistics/2.%20Measures%20of%20Dispersion.md)

- [Data Visualization](./02.%20Descriptive%20Statistics/3.%20Data%20Visualization.md)



### 3. **Probability**

- [Probability Basics](./03.%20Probability/1.%20Probability%20Basics.md)

- [Rules of Probability](./03.%20Probability/2.%20Rules%20of%20Probability.md)

- [Discrete and Continuous Distributions](./03.%20Probability/3.%20Discrete%20and%20Continuous%20Distributions.md)



### 4. **Inferential Statistics**

- [Sampling Techniques](./04.%20Inferential%20Statistics/1.%20Sampling%20Techniques.md)

- [Confidence Intervals](./04.%20Inferential%20Statistics/2.%20Confidence%20Intervals.md)

- [Hypothesis Testing](./04.%20Inferential%20Statistics/3.%20Hypothesis%20Testing.md)



### 5. **Regression Analysis**

- [Simple Linear Regression](./05.%20Regression%20Analysis/1.%20Simple%20Linear%20Regression.md)

- [Multiple Regression](./05.%20Regression%20Analysis/2.%20Multiple%20Regression.md)

- [Logistic Regression](./05.%20Regression%20Analysis/3.%20Logistic%20Regression.md)



### 6. **Advanced Topics**

- [ANOVA and MANOVA](./06.%20Advanced%20Topics/1.%20ANOVA%20and%20MANOVA.md)

- [Time Series Analysis](./06.%20Advanced%20Topics/2.%20Time%20Series%20Analysis.md)

- [Bayesian Statistics](./06.%20Advanced%20Topics/3.%20Bayesian%20Statistics.md)



### 7. **Applications of Statistics**

- [In Business and Finance](./07.%20Applications/1.%20In%20Business%20and%20Finance.md)

- [In Healthcare](./07.%20Applications/2.%20In%20Healthcare.md)

- [In Machine Learning](./07.%20Applications/3.%20In%20Machine%20Learning.md)



## ℹī¸ About



This repository is a comprehensive resource designed to serve as a learning tool and quick reference for anyone studying statistics. Each section contains clear explanations, practical examples, and interactive exercises.



## ❓ How to Use



Explore any topic in the Table of Contents to access detailed notes and examples. Each section is organized into Markdown files for easy navigation and customization.



## 🚩 Contributing



Contributions are welcome! If you have suggestions for enhancements or additional topics, feel free to open an issue or submit a pull request.



## 📝 License



This project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for details.