adilo231 / Python-for-machine-learning

python for machine learning tutorial

Python-for-machine-learning

This repository contains a tutorial on using Python for machine learning. The tutorial is designed for beginners who are new to Python or to machine learning.

Getting Started

To get started with the tutorial, you will need to install Python and some Python libraries. We recommend using the Anaconda distribution, which includes many popular Python libraries for machine learning.

You can download Anaconda from the official website: https://www.anaconda.com/products/individual

Once you have installed Anaconda, you can create a new environment:

bash

conda env create -f environment.yml

.

Tutorial Outline

The tutorial is divided into several sections, each covering a different aspect of machine learning in Python. The sections are:

1. Introduction to Python
2. Scientific modules
3. Data analysis and visualization
4. Machine learning applications
5. Data scientist approach

Each section includes code examples and exercises that you can try out on your own. Contributing

If you find any issues or have suggestions for improving the tutorial, please feel free to open an issue or submit a pull request.

Prerequisites

To run the code in this tutorial, you will need to have Python 3 installed on your computer. You will also need to install the following modules:

NumPy
Pandas
Matplotlib
Scikit-learn

You can install these modules using pip or conda, depending on your preferred package manager. License

Contributing

If you would like to contribute to this tutorial, feel free to submit a pull request. We welcome contributions from the community and are happy to review and merge in new features and improvements.

License

This tutorial is licensed under the MIT License. Feel free to use and modify the code as needed, but please provide attribution to the original source.