Welcome to the ML-Algorithms repository! This repository contains implementations of various machine learning algorithms using Python. The purpose of this repository is to provide an accessible resource for individuals who are interested in learning about and experimenting with machine learning algorithms.
The repository contains the following machine learning algorithms:
- Linear Regression
- Logistic Regression
- Decision Tree
- Random Forest
- K-Means Clustering
- Principal Component Analysis
- Support Vector Machine
- Neural Networks
Each algorithm has its own Python script and is accompanied by a Jupyter Notebook that demonstrates its usage.
To use this repository, you should have Python 3 installed on your machine. You will also need to install the following packages:
- numpy
- pandas
- matplotlib
- scikit-learn
Once you have installed these packages, you can clone this repository to your local machine using the following command:
git clone https://github.com/jhonsnow456/ML-Algorithms.git
To use the algorithms in this repository, simply navigate to the directory containing the algorithm you wish to use and run the Python script. You can also run the Jupyter Notebook for each algorithm to see an example of how it can be used.
If you would like to contribute to this repository, please fork the repository and submit a pull request with your changes. We welcome contributions from all individuals and are happy to review any pull requests.
This repository is licensed under the MIT license. Please see the LICENSE file for more information.