/MachineLearning-Practicecode

This is code that i Learned during ML Learning Phase

Primary LanguagePython

Basic Machine Learning Code and Simple Project

This repository contains basic machine learning code snippets and a simple project to help beginners get started with machine learning concepts and implementation. Below you will find a brief overview of the contents and instructions for running the code.

Contents:

  1. Code Snippets:

    • Various code snippets covering fundamental machine learning tasks such as data preprocessing, model training, evaluation, and visualization.

  2. Simple Project:

    • A simple machine learning project that demonstrates the end-to-end process of building a model for a basic classification or regression task.

Instructions:

  1. Clone the Repository:

    git clone https://github.com/your-username/basic-ml-project.git

  2. Install Dependencies:

    • Make sure you have Python installed on your system.
    • Install the required dependencies using pip:
    pip install -r requirements.txt

  3. Explore Code Snippets:

    • Navigate to the code_snippets directory to explore various machine learning code snippets.
    • Each snippet is provided with comments explaining its purpose and usage.

  4. Run the Simple Project:

    • Navigate to the simple_project directory.
    • Follow the instructions provided in the project's README file to run the project and observe the results.

Contributors:

Feel free to contribute to this repository by adding more code snippets, improving documentation, or suggesting enhancements. We welcome your contributions!

License:

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