PROJECT_INFO.md

# Statsmodels Statistical Modeling Project

<!--
Author: RSK World
Website: https://rskworld.in
Email: help@rskworld.in
Phone: +91 93305 39277
-->

## Project Details

- **ID**: 12
- **Title**: Statsmodels Statistical Modeling
- **Category**: Scientific Computing
- **Difficulty**: Advanced
- **Source Link**: https://github.com/rskworld/statsmodels-statistical/archive/refs/heads/main.zip
- **Demo Link**: ./statsmodels-statistical/

## Description

Statistical modeling with Statsmodels including regression analysis, time series models, hypothesis testing, and statistical tests.

## Full Description

This project demonstrates Statsmodels, a library for statistical modeling and econometrics in Python. It covers linear and generalized linear models, time series analysis, hypothesis testing, statistical tests, and diagnostic tools. Perfect for statistical analysis and econometric modeling.

## Technologies

- Python
- Statsmodels
- Pandas
- NumPy
- Matplotlib
- Jupyter Notebook

## Features

- Linear and GLM regression
- Time series analysis
- Hypothesis testing
- Statistical diagnostics
- Econometric modeling

## Icon

- **Icon**: fas fa-microscope
- **Icon Color**: text-secondary
- **Project Image**: ./statsmodels-statistical/statsmodels-statistical.png
- **Project Image Alt**: Statsmodels Statistical Modeling - rskworld.in

## Author Information

**RSK World**
- Website: https://rskworld.in
- Email: help@rskworld.in
- Phone: +91 93305 39277

## Project Structure

```
statsmodels-statistical/
├── README.md
├── requirements.txt
├── LICENSE
├── index.html
├── regression_analysis.py
├── time_series_analysis.py
├── hypothesis_testing.py
├── statistical_diagnostics.py
├── econometric_modeling.py
├── notebooks/
│ ├── 01_linear_regression.ipynb
│ ├── 02_time_series.ipynb
│ ├── 03_hypothesis_testing.ipynb
│ └── 04_econometric_modeling.ipynb
├── examples/
│ ├── regression_example.py
│ ├── time_series_example.py
│ └── hypothesis_testing_example.py
└── data/
└── sample_data.csv
```