Machine Learning, Deep Learning, and Reinforcement Learning Algorithms in Go

This project implements a variety of algorithms for Machine Learning, Deep Learning, and Reinforcement Learning using Go. It includes algorithms such as ANN (Artificial Neural Network), SVM (Support Vector Machine), Logistic Regression, Regression, Decision Tree, Random Forest, and Q-learning.

📋 Requirements

To run this project, you need the following:

• Go 1.19 or higher
• Git installed on your system
• Supported platforms: Linux, macOS, Windows

📦 Install Required Packages

Before running the project, you need to install the required Go packages.

Run the following command to install the dependencies:

go mod tidy

🚀 Installation and Setup

Follow these steps to set up the project:

1. Install the package using go get:

go get github.com/sajad-dev/go-web-framework

2. Import the package into your project:

import "github.com/sajad-dev/go-web-framework"

3. Set up the environment variables (e.g., database connection):

cp .env.example .env

4. Run the project:

go run main.go

🧠 Implemented Algorithms

Deep Learning Algorithms

• ANN (Artificial Neural Network)

Machine Learning Algorithms

• SVM (Support Vector Machine)

• Logistic Regression

• Regression

• Decision Tree

• Random Forest

Reinforcement Learning Algorithms

• Q-learning

🧑‍💻 Author

Mohammad Sajad Poorajam (محمد سجاد پورعجم)