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https://github.com/magnus0969/multi-class-classification

This repository contains a comprehensive implementation of a multi-class classification model, leveraging various machine learning algorithms to classify data into multiple categories. The project includes data preprocessing, model training, evaluation, and performance metrics to assess the effectiveness of different classification techniques.
https://github.com/magnus0969/multi-class-classification

classification cnn-classification keras-classification-models multiclass-classification python

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This repository contains a comprehensive implementation of a multi-class classification model, leveraging various machine learning algorithms to classify data into multiple categories. The project includes data preprocessing, model training, evaluation, and performance metrics to assess the effectiveness of different classification techniques.

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# Multi-Class Classification

This repository contains an implementation of a **Multi-Class Classification** model using machine learning techniques. The project demonstrates how to train, evaluate, and optimize a classifier for handling multiple categories in a dataset.

## 🚀 Features
- Preprocessing and feature engineering for multi-class classification.
- Model training using machine learning algorithms.
- Performance evaluation with relevant metrics.
- Hyperparameter tuning for model optimization.

## 📌 Requirements
Install the dependencies using:
```bash
pip install -r requirements.txt
```

## 🔥 Usage
1. Clone the repository:
```bash
git clone https://github.com/Magnus0969/Multi-Class-Classification.git
cd Multi-Class-Classification
```
2. Run the training script:
```bash
python scripts/train.py
```
3. Evaluate the model:
```bash
python scripts/evaluate.py
```

## 📊 Evaluation Metrics
- **Accuracy**
- **Precision, Recall, F1-score**
- **Confusion Matrix**

## 📜 License
This project is licensed under the MIT License.