{"id":22740165,"url":"https://github.com/ahmedosamamath/statistics-basics","last_synced_at":"2025-04-12T21:05:39.118Z","repository":{"id":260791722,"uuid":"882300070","full_name":"AhmedOsamaMath/statistics-basics","owner":"AhmedOsamaMath","description":"A comprehensive guide to applying statistical techniques in machine learning, including data preprocessing, model development, evaluation metrics, and real-world applications. 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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.\n\n💡 **Pro Tip**: Star this repository to keep it handy for future reference!\n\n## 📚 Table of Contents\n\n### 1. **Introduction to Statistics**\n- [What is Statistics?](./01.%20Introduction%20to%20Statistics/1.%20What%20is%20Statistics.md)\n- [Importance of Statistics](./01.%20Introduction%20to%20Statistics/2.%20Importance%20of%20Statistics.md)\n- [Types of Data](./01.%20Introduction%20to%20Statistics/3.%20Types%20of%20Data.md)\n\n### 2. **Descriptive Statistics**\n- [Measures of Central Tendency](./02.%20Descriptive%20Statistics/1.%20Measures%20of%20Central%20Tendency.md)\n- [Measures of Dispersion](./02.%20Descriptive%20Statistics/2.%20Measures%20of%20Dispersion.md)\n- [Data Visualization](./02.%20Descriptive%20Statistics/3.%20Data%20Visualization.md)\n\n### 3. **Probability**\n- [Probability Basics](./03.%20Probability/1.%20Probability%20Basics.md)\n- [Rules of Probability](./03.%20Probability/2.%20Rules%20of%20Probability.md)\n- [Discrete and Continuous Distributions](./03.%20Probability/3.%20Discrete%20and%20Continuous%20Distributions.md)\n\n### 4. **Inferential Statistics**\n- [Sampling Techniques](./04.%20Inferential%20Statistics/1.%20Sampling%20Techniques.md)\n- [Confidence Intervals](./04.%20Inferential%20Statistics/2.%20Confidence%20Intervals.md)\n- [Hypothesis Testing](./04.%20Inferential%20Statistics/3.%20Hypothesis%20Testing.md)\n\n### 5. **Regression Analysis**\n- [Simple Linear Regression](./05.%20Regression%20Analysis/1.%20Simple%20Linear%20Regression.md)\n- [Multiple Regression](./05.%20Regression%20Analysis/2.%20Multiple%20Regression.md)\n- [Logistic Regression](./05.%20Regression%20Analysis/3.%20Logistic%20Regression.md)\n\n### 6. **Advanced Topics**\n- [ANOVA and MANOVA](./06.%20Advanced%20Topics/1.%20ANOVA%20and%20MANOVA.md)\n- [Time Series Analysis](./06.%20Advanced%20Topics/2.%20Time%20Series%20Analysis.md)\n- [Bayesian Statistics](./06.%20Advanced%20Topics/3.%20Bayesian%20Statistics.md)\n\n### 7. **Applications of Statistics**\n- [In Business and Finance](./07.%20Applications/1.%20In%20Business%20and%20Finance.md)\n- [In Healthcare](./07.%20Applications/2.%20In%20Healthcare.md)\n- [In Machine Learning](./07.%20Applications/3.%20In%20Machine%20Learning.md)\n\n## ℹ️ About\n\nThis 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.\n\n## ❓ How to Use\n\nExplore 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.\n\n## 🚩 Contributing\n\nContributions are welcome! If you have suggestions for enhancements or additional topics, feel free to open an issue or submit a pull request.\n\n## 📝 License\n\nThis project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahmedosamamath%2Fstatistics-basics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fahmedosamamath%2Fstatistics-basics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahmedosamamath%2Fstatistics-basics/lists"}