https://github.com/misaghmomenib/data-analysis-projects
A Repository Featuring a Collection of Data Analysis Projects, Showcasing Various Techniques and Tools for Extracting Insights From Data. Explore, Learn, and Utilize These Projects to Enhance Your Data Analysis Skills and Workflows.
https://github.com/misaghmomenib/data-analysis-projects
data-analysis data-analysis-python data-visualization jupyter-notebook open-source python
Last synced: 2 months ago
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A Repository Featuring a Collection of Data Analysis Projects, Showcasing Various Techniques and Tools for Extracting Insights From Data. Explore, Learn, and Utilize These Projects to Enhance Your Data Analysis Skills and Workflows.
- Host: GitHub
- URL: https://github.com/misaghmomenib/data-analysis-projects
- Owner: MisaghMomeniB
- License: gpl-3.0
- Created: 2025-01-02T03:36:39.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-11T22:14:32.000Z (2 months ago)
- Last Synced: 2025-04-11T23:26:18.996Z (2 months ago)
- Topics: data-analysis, data-analysis-python, data-visualization, jupyter-notebook, open-source, python
- Language: Jupyter Notebook
- Homepage:
- Size: 2.25 MB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## ๐ Data Analysis Projects
Welcome to the **Data Analysis Projects** repository! ๐
This repository contains a collection of **real-world data analysis projects** showcasing various techniques in **data cleaning, visualization, statistical analysis, and machine learning**.
### ๐ Contents
- Exploratory Data Analysis (EDA) ๐
- Data Cleaning & Preprocessing ๐งน
- Visualization with Matplotlib & Seaborn ๐
- Machine Learning Models ๐ค
- Insights & Reports ๐### ๐ Tech Stack
- Python ๐
- Pandas, NumPy
- Matplotlib, Seaborn
- Scikit-learn### ๐ Get Started
1. Clone the repo:
```bash
git clone https://github.com/your-username/Data-Analysis-Projects.git
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Explore the projects!### ๐ค Contributions
Feel free to **fork, contribute, and open issues** to improve the projects!Happy analyzing! ๐ฏ