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