Social Media and Mental Health

Project Description

This repository contains the code and resources for the "Social Media and Mental Health" research project conducted for the Social Research exam (2023/2024). The project involves analyzing the impact of social media usage on mental well-being through various data preprocessing, transformation, and modeling techniques.

ontents

And it contains the following files:

- Jupyter Notebook files with code

- Presentation files related to the project

-CSV data files used in the project

The Jupyter Notebook code is structured as follows:

1.Data Pre-processing and Cleaning

Renaming Columns: Standardizing column names for consistency and readability.

Re-arranging Columns: Organizing columns in a logical order to facilitate analysis.

2.Missing Value Detection and Treatment

Identifying Missing Values: Systematically detecting missing data points.

Treating Missing Values: Applying appropriate techniques to handle missing data, such as imputation or removal.

3.Data Transformation

Transforming Data: Implementing transformations to normalize or standardize data, as required for analysis.

4.Summation of Scores

Aggregating Scores: Calculating the total scores for different aspects of mental well-being.

5.Adding an "Outcome" Column

Outcome Labeling: Creating an "Outcome" column to prepare the data for correlation analysis and predictive modeling.

6.Analysis and Modeling

Correlation Analysis: Preparing the data for correlation analysis to identify significant relationships.

Logistic Regression: Implementing logistic regression for binary classification tasks.

Data Source The dataset used in this project is sourced from Kaggle: Social Media and Mental Health https://www.kaggle.com/datasets/souvikahmed071/social-media-and-mental-health/data