this is basic machine learning model that i trained with my own book

it is implemented in C with no dependencies I am using a Markov Chain implemented within a hash map as the machine learning structure.

Features

• No Dependencies Required: Say goodbye to the hassle of installing numerous libraries. This model is self-sufficient and easy to set up.

Getting Started

To embark on this intriguing journey, follow these simple steps:

Prerequisites

• C compiler (e.g., GCC)

Build

1. Open your terminal and navigate to the project directory.

2. Build the project using the following command:

   gcc main.c

   This will produce an executable file, typically named a.exe on Windows or a.out on Unix-based systems.

Run

With the project successfully built, it's time to witness the magic. Run the program by executing the following command in your terminal:

./a.exe her_dead_voice.txt

Replace her_dead_voice.txt with the path to your own text file if desired. Now, sit back and watch as the machine learning model performs its wonders.

Contribution Guidelines

We welcome contributions and improvements to this project. Feel free to fork this repository, make your enhancements, and submit a pull request. Together, we can make something awesome.

Disclaimer:- Text of my book totally belongs to me, do not use it elsewhere or if you are using this please give me credit