Evolution of Humans - Dataset for Classification

Welcome to the Evolution of Humans project! This repository is focused on using machine learning and deep learning techniques to classify various stages of human evolution. Our dataset includes biological, environmental, and cultural traits that represent different phases of human development, providing a unique opportunity to study evolution through the lens of artificial intelligence.

🧑‍🔬 Project Overview

This project aims to:

	Develop and train machine learning models to classify human evolutionary stages.
	Explore the impact of different features (biological, environmental, etc.) on classification performance.
	Apply deep learning methods to improve classification accuracy and model robustness.

🚀 Key Features

•	🤖 Machine Learning Models: Implementations of Decision Trees, Random Forest, and Neural Networks for classification.
•	🧠 Deep Learning: Application of neural network models for advanced classification.
•	📈 Feature Analysis: Insights into the most important features contributing to human evolutionary stages.

🛠 Tech Stack

The project uses the following technologies:

•	Programming Language: 

•	Data Processing: 

• Machine Learning:

• Deep Learning:

📂 Project Structure

├── notebooks/              # kaggel notebooks for analysis and model training
├── models/                 # Trained machine learning and deep learning models
├── README.md               # Project overview and instructions

This README structure provides all the necessary information for users to understand your project, how to use it, and how to contribute. You can adapt it to your specific needs!