Machine Learning Study

Welcome to the Machine Learning Study repository. This repository demonstrates what I have studied in the course BIE-ML1 (Machine Learning 1) at my university.

Table of Contents

• Introduction
• Getting Started
• Prerequisites
• Installation
• Usage
• Contributing
• License

Introduction

This repository is dedicated to learning and experimenting with various machine learning techniques and algorithms. It includes tutorials, sample code, and datasets to help you get started with machine learning.

Getting Started

To get started with this repository, clone it to your local machine and follow the instructions in the Installation section.

Prerequisites

Before you begin, ensure you have met the following requirements:

• You have installed Python 3.x.
• You have a basic understanding of machine learning concepts.
• You have installed the necessary Python libraries (listed in the requirements.txt file).

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/ml_study.git

2. Navigate to the project directory:

   cd ml_study

3. Install the required Python libraries:

   pip install -r requirements.txt

Usage

To run the sample code and experiments, follow the instructions in the individual project directories. Each directory contains a README file with specific instructions.

Contributing

Contributions are welcome! Please read the contributing guidelines for more information.

License

This project is licensed under the MIT License. See the LICENSE file for details.