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https://github.com/shoaib1522/probability-statistics
This repository is a comprehensive collection of assignments, lecture notes, and projects focused on Probability and Statistics. It provides both theoretical insights and practical applications for mastering the subject.
https://github.com/shoaib1522/probability-statistics
bayesian-inference combinations confidence-intervals geometric-algorithms hyperparameter-tuning hypothesis-testing matlab multinomial-naive-bayes permutations probability
Last synced: 19 days ago
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This repository is a comprehensive collection of assignments, lecture notes, and projects focused on Probability and Statistics. It provides both theoretical insights and practical applications for mastering the subject.
- Host: GitHub
- URL: https://github.com/shoaib1522/probability-statistics
- Owner: shoaib1522
- License: mit
- Created: 2024-12-13T19:14:38.000Z (21 days ago)
- Default Branch: main
- Last Pushed: 2024-12-13T19:26:04.000Z (21 days ago)
- Last Synced: 2024-12-13T20:24:06.067Z (21 days ago)
- Topics: bayesian-inference, combinations, confidence-intervals, geometric-algorithms, hyperparameter-tuning, hypothesis-testing, matlab, multinomial-naive-bayes, permutations, probability
- Language: Jupyter Notebook
- Homepage:
- Size: 48.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Probability-Statistics
## 📂 Repository Structure
### 1. **Assignments**
- **`BsdsF22A028_Assignment_01_Probability.pdf`**: First assignment covering foundational probability concepts.
- **`Assignment-1.pdf`**: Additional assignment on probability.
- Scanned images of completed work:
- `IMG_20231011_180232.jpg`
- `IMG_20231011_180238.jpg`
- `IMG_20231011_180244.jpg`
- `IMG_20231011_180250.jpg`
- `IMG_20231011_180256.jpg`
- `IMG_20231011_180303.jpg`
### 2. **Lecture Notes**
Comprehensive lecture notes covering the entire syllabus of Probability and Statistics:
- **Introduction**:
- `Lecture 1-Introduction-Prob.pdf`
- `Lecture 2-SampleSpace.pdf`
- `Lecture 3-AdditionRule.pdf`
- **Core Probability Topics**:
- `Lecture 5_ConditionalProb.pdf`
- `Lecture 6-Introduction-Permutations and Comb.pdf`
- **Distributions**:
- `Lecture 8-BinomialDist-Part1.pdf`
- `Lecture 9-BinomialDist-Part2.pdf`
- `Lecture 10-HypergeometricDist -Part 1 and Part 2.pdf`
- `Lecture 11-Multinomial.pdf`
- `Lecture 12-PoissonDist.pdf`
- `Lecture 13-GeometricUniformDist.pdf`
- `Lecture 14-NegativeBinomial.pdf`
- `Lecture 17-GuassianParameters.pdf`
- `Lecture 18-Guassian-StandardNormal.pdf`
- `Lecture 19-Guassian-InverseProblem.pdf`
- **Advanced Topics**:
- `Lecture 16-BayesLaw - Part 1.pdf`
- `Lecture 16-BayesLaw -Part 2.pdf`
- `Lecture 20-Chebyshev.pdf`
- **Statistical Inference**:
- `Lecture 21-Inference.pdf`
- `Lecture 22-ConfidenceInterval-Part 1.pdf`
- `Lecture 23-ConfidenceInterval-Part 2.pdf`
- `Lecture 24-ConfidenceInterval-Part 3.pdf`
- **Hypothesis Testing**:
- `Lecture 25-HypothesisTesting-MeanTesting.pdf`
- `Lecture 26-HypothesisTesting-DifferenceBetweenMean.pdf`
### 3. **Lab Work**
- Python and MATLAB lab exercises to support theoretical knowledge:
- `Lab Python`
- `Lecture 4-Lab1-Matlab.pdf`
- `Lecture 7-Tutorial-2-Matlab.pdf`
### 4. **Project**
- A project folder containing practical applications of probability and statistics.
### 5. **Miscellaneous**
- **Books**: Additional resources and references.
- **`.gitignore`**: To manage untracked files.
- **`LICENSE`**: License for this repository.
---
## 📚 Key Features
- **Complete Lecture Coverage**: A comprehensive collection of lectures from basic concepts to advanced topics in Probability and Statistics.
- **Hands-on Learning**: Includes assignments and lab work for practical understanding.
- **Scanned Solutions**: Provides scanned solutions for a visual reference.
- **Project Integration**: Real-world application of theoretical concepts through projects.
---
## 💻 Getting Started
1. Clone the repository:
```bash
git clone https://github.com/shoaib1522/probability-and-statistics.git
```
2. Explore the folders and start learning!
---
## 📜 License
This repository is licensed under the MIT License. Feel free to use, modify, and share.
---
## 🤝 Contributing
Contributions are welcome! Feel free to fork this repository and create pull requests.
---
## 📞 Contact
If you have any questions or suggestions, feel free to reach out via GitHub or email.
---
**Happy Learning! 🎓**