Random-Fun 😊

Overview

A collection of simple, classic models for educational purposes and fun experimentation. This repository includes foundational models like Softmax Regression and others that help in understanding the basics of machine learning.

Table of Contents

1. Installation
2. Usage
3. Featured Models
4. Contributing

Installation

Clone the repository and install any dependencies if required:

git clone https://github.com/PravinHaligonda/random-fun.git
cd random-fun

Usage

Launch the Jupyter Notebook environment and open any notebook:

jupyter notebook

From the Jupyter interface, navigate to and open a notebook (e.g., softmax_regression.ipynb) to explore or run the code.

Featured Models

• Softmax Regression: A simple implementation of the Softmax classifier for multi-class classification problems.
• Multilayer Perceptron: A Multilayer perceptron using Sigmoid Output layer and MSE loss function

Dance Moves

I find this insane image on activation function. Twitter thread

Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.