Clothes Price Prediction is an AI project developed using Google Colab, Python, and machine learning techniques. This project aims to predict clothing prices by analyzing various features using regression models. After evaluating different regression models such as Decision Tree, Neural Network, Support Vector Classifier, and Lasso Regression, Linear Regression was chosen as the final model due to its superior accuracy.
The Clothes Price Prediction project utilizes machine learning algorithms to predict the prices of clothing items based on multiple features. By training a Linear Regression model on a dataset containing relevant features such as brand, material, size, and color, the project achieves accurate predictions of clothing prices.
- Evaluation of multiple regression models including Decision Tree, Neural Network, Support Vector Classifier, and Lasso Regression.
- Selection of Linear Regression model based on superior accuracy for clothing price prediction.
- Analysis of a dataset containing clothing data with features like brand, material, size, color, etc.
- Preprocessing and transformation of features to prepare data for model training.
- Training the Linear Regression model on the prepared dataset to predict clothing prices.
- Evaluation of the trained model's performance using appropriate metrics such as Mean Absolute Error, Mean Squared Error, etc.
- Utilization of the trained model to make predictions on new clothing data.
To use Clothes Price Prediction project, follow these steps:
- Clone the repository:
git clone https://github.com/yourusername/clothes-price-prediction.git - Navigate to the project directory:
cd clothes-price-prediction - Install the required dependencies.
- Run the notebook in a Jupyter environment or Google Colab.
- Open the project notebook in Google Colab or a Jupyter environment.
- Run each cell sequentially to train the model, evaluate its performance, and make predictions.
- Input new clothing data to predict prices using the trained model.
Contributions to Clothes Price Prediction are welcome! To contribute, follow these steps:
- Fork the repository.
- Create a new branch:
git checkout -b feature/your-feature - Make your changes and commit them:
git commit -am 'Add new feature' - Push to the branch:
git push origin feature/your-feature - Submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.
Clothes Price Prediction project acknowledges the contributions of the open-source community, libraries used, and resources referenced during development.