https://github.com/busra-deveci/kaggle-iris_data_analysis
Exploratory data analysis and visualization of the Iris dataset using Python.
https://github.com/busra-deveci/kaggle-iris_data_analysis
data-analysis iris-dataset kaggle pandas python seaborn visualization
Last synced: about 2 months ago
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Exploratory data analysis and visualization of the Iris dataset using Python.
- Host: GitHub
- URL: https://github.com/busra-deveci/kaggle-iris_data_analysis
- Owner: Busra-Deveci
- Created: 2025-04-15T08:42:17.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2025-04-15T08:47:21.000Z (about 1 year ago)
- Last Synced: 2025-05-30T10:15:33.011Z (about 1 year ago)
- Topics: data-analysis, iris-dataset, kaggle, pandas, python, seaborn, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Iris Data Analysis
This project is a simple data analysis and visualization of the famous Iris dataset using Python.
## 📊 Dataset
- The dataset contains measurements of iris flowers from three different species: Setosa, Versicolor, and Virginica.
- Features include sepal length, sepal width, petal length, and petal width.
## 🧰 Tools & Libraries
- Python
- Pandas
- Matplotlib
- Seaborn
## 📈 What I Did
- Data cleaning and exploration
- Visualized feature distributions
- Created correlation heatmaps
- Analyzed relationships between features and target classes
## 🚀 Getting Started
To run this notebook:
1. Clone the repository
2. Install required libraries
3. Open the `.ipynb` file in Jupyter or VS Code
## 📁 File Structure
- `Iris_Data_Analysis.ipynb`: Jupyter notebook with all code and visualizations
## 📌 Notes
This project is part of my data science learning journey using Kaggle notebooks and GitHub.