Machine Learning Projects in Python

This repository contains a collection of Python projects utilizing Machine Learning techniques.

Prerequisites

Before running the code in this repository, make sure you have the following requirements installed:

• Python (version 3.11)
• Python Libraries:
  • scikit-learn
  • numpy
  • pandas
  • matplotlib
  • seaborn
  • statsmodel
  • scipy
  • plotly

Directory Structure

Each project has its own directory containing a code.py file and a data file (such as data.csv). The code.py file contains the Python source code that implements the Machine Learning techniques using the mentioned libraries.

How to Run the Projects

To run a specific project, follow the steps below:

1. Navigate to the desired project's directory: cd projectX.
2. Run the code.py file using the Python interpreter: python code.py, or run the .ipynb Jupyter Notebook file.

Make sure you have installed the required libraries listed in the prerequisites before running the projects.

Contribution

If you'd like to contribute to this repository, feel free to open an issue or submit a pull request. You're welcome to add new projects or improve existing ones.

Author

This repository is maintained by Jesse Rodrigues, who studied at EBAC (British School of Creative Arts) in the professional Data Science course.