A Python package for descriptive and advanced statistical analysis
Project description
Got it 👍 You’re building a Python package called aistats (AI + Statistics).
Here’s a clean, professional README.md draft you can directly use in your project.
# aistats
**aistats** is a Python package that bridges the gap between **Artificial Intelligence (AI)** and **Statistics**, providing tools that range from **basic descriptive statistics** to **advanced machine learning and AI-driven statistical analysis**.
It is designed for students, researchers, and professionals who want a single package to handle everything from **basic stats** to **AI-powered insights**.
---
## ✨ Features
- 📊 **Descriptive Statistics**
- Mean, Median, Mode, Variance, Standard Deviation, Skewness, Kurtosis
- 📈 **Inferential Statistics**
- Hypothesis Testing (t-test, chi-square, ANOVA, etc.)
- Confidence Intervals
- Correlation & Regression
- 🧠 **AI + Machine Learning**
- Linear & Logistic Regression
- Decision Trees, Random Forest
- Neural Network-based estimations
- Information Equivalent Design for Regression Models
- 📚 **Educational Support**
- Step-by-step explanations of results
- Examples from real-life domains (Agriculture, Education, Sports, Engineering, etc.)
---
## 📦 Installation
You can install the package (once uploaded to PyPI) using:
pip install aistats
```
aistats/
│── __init__.py
│── descriptive.py # Basic statistics
│── inferential.py # Hypothesis testing, probability
│── ml.py # AI + Machine Learning models
│── design.py # Information Equivalent Design algorithms
│── utils.py # Helper functions
```
## 🤝 Contribution
Contributions are welcome! Please fork the repo and submit a pull request.
---
## 📜 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
---
## 🙌 Acknowledgments
This package is inspired by the need to **combine traditional statistical methods with modern AI approaches** to make statistical analysis smarter, faster, and more interpretable.
```
## 👨💻 Author
**Name:** Rohit Kumar Behera
**Profession:** Mathematics Teacher, Researcher in Statistics & AI
**Location:** Odisha, India
- 📧 Email: rohitsmartbehera@gmail.com
- 🌐 GitHub: [github.com/muinrohit]
- 📝 Research Interests: Statistics, Machine Learning, AI Applications in Real-life Problems
- 📊 Projects: `aistats`, and educational tools for applied statistics
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aistats-0.0.1.tar.gz
(4.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file aistats-0.0.1.tar.gz.
File metadata
- Download URL: aistats-0.0.1.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6c9b45ec4538730d99fcc9cd5d20fccd61c1b0a97797629462101ae79362d909
|
|
| MD5 |
9e3b59cc9b13531d2b4f0a484737e0c7
|
|
| BLAKE2b-256 |
53f7d3c2607b0b36f506a4c282f847e655d505cc6b604493985a41a58b82e968
|
File details
Details for the file aistats-0.0.1-py3-none-any.whl.
File metadata
- Download URL: aistats-0.0.1-py3-none-any.whl
- Upload date:
- Size: 4.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
77db614979b1bb16e98409f20e1b629bc82a7dac4b84d53de95f179fe318fc33
|
|
| MD5 |
6c63d01e1e1d5316d24f99618d203f44
|
|
| BLAKE2b-256 |
d8e3f3e90d29c8eeac18d9583a18f7a93b1e1ed8bcb9324d7b346cfe299f4d5f
|