Machine Learning

Welcome to the Machine-Learning repository! This repository is dedicated to implementing various machine learning algorithms and showcasing projects related to machine learning.

Table of Contents

• Introduction
• Current Files
• Projects
• Usage
• License

Introduction

Machine learning is a field of artificial intelligence that focuses on building systems that learn from data and improve their performance over time. In this repository, you'll find implementations of popular machine learning algorithms and practical projects that demonstrate their use.

Current Files

As of now, the repository contains the following Jupyter notebooks:

• Feature_scaling.ipynb - Day 05 (last year)
• Linear_Regression_02.ipynb - Day 02 (last year)
• Logistic_Regression.ipynb - Day 04 (last year)
• Machine_Learning.ipynb - Day 01 (last year)
• Multiple_Regression.ipynb - Day 03 (last year)
• Polynomial_Regression.ipynb - Day 04 (last year)

Projects

Here are some of the key projects included in this repository:

1. SymptoSense

Feel free to explore the individual project folders for details on implementation, datasets used, and results.

Usage

To use the code in this repository:

1. Clone the repository:

   git clone https://github.com/yourusername/Machine-Learning.git