Depression Data Analysis

Project Description

This project aims to analyze data related to depression, available on the Kaggle platform. The analysis involves data manipulation, visualization, and basic modeling, data preprocessing, outlier detection, clustering, and classification using Python tools.

Contents

The project includes the following components:

• Dataset: The data used in this project is sourced from this Kaggle dataset.
• Jupyter Notebook: The file ED_projekt_1.ipynb contains the source code.
• Libraries: The project utilizes the following Python libraries:
  • pandas for data manipulation,
  • numpy for mathematical computations,
  • matplotlib and seaborn for data visualization,
  • scikit-learn for modeling.