This repository contains a collection of machine learning projects that I have worked on. Each project demonstrates a different machine learning technique and showcases my skills in data preprocessing, model selection, hyperparameter tuning, and evaluation. The projects are organized into separate folders, with each folder containing the code and data for a specific project.
- Installation
- Usage
- Contributin
To run the projects in this repository, you will need to have Python 3 installed on your machine, along with several Python packages.
Each project folder contains a README file with instructions on how to run the project. To run a project, simply navigate to its folder and follow the instructions in the README file. The projects in this repository cover a wide range of machine learning techniques, including:
- Regression
- Classification
- Clustering
- Natural language processing
- Computer vision
Each project also includes a description of the dataset used, along with a brief summary of the machine learning technique applied and the results obtained.
I welcome contributions to this repository in the form of new machine learning projects or improvements to existing projects. If you would like to contribute, please fork the repository and submit a pull request with your changes.