https://github.com/developerwilliams/iris-dataset-data-analysis-and-machine-learning
A script that loads a dataset, performs some data preprocessing, trains a machine learning model, and visualizes the results.
https://github.com/developerwilliams/iris-dataset-data-analysis-and-machine-learning
Last synced: 4 months ago
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A script that loads a dataset, performs some data preprocessing, trains a machine learning model, and visualizes the results.
- Host: GitHub
- URL: https://github.com/developerwilliams/iris-dataset-data-analysis-and-machine-learning
- Owner: DeveloperWilliams
- Created: 2024-08-02T11:12:38.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-29T05:04:28.000Z (over 1 year ago)
- Last Synced: 2025-04-03T23:06:58.309Z (10 months ago)
- Language: Python
- Size: 3.94 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Iris Analysis
This README file provides an overview of the `iris_analysis.py` script, which is used for analyzing the Iris dataset.
## Introduction
The `iris_analysis.py` script is designed to perform various analyses on the famous Iris dataset. This dataset contains measurements of four features (sepal length, sepal width, petal length, and petal width) for three different species of Iris flowers (setosa, versicolor, and virginica).
## Usage
To use the `iris_analysis.py` script, follow these steps:
1. Ensure that you have Python installed on your system.
2. Download the Iris dataset and save it in the same directory as the script.
3. Open a terminal or command prompt and navigate to the directory containing the script.
4. Run the script using the following command: `python iris_analysis.py`
## Functionality
The `iris_analysis.py` script provides the following functionality:
- Loading the Iris dataset from a CSV file.
- Preprocessing the dataset by handling missing values and scaling the features.
- Exploratory data analysis, including summary statistics and visualizations.
- Training and evaluating machine learning models for classification tasks.
- Generating predictions for new data points using the trained models.
## Dependencies
The `iris_analysis.py` script requires the following dependencies:
- Python 3.x
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
Please ensure that these dependencies are installed before running the script.
## License
This script is released under the MIT License. See the [LICENSE](LICENSE) file for more information.