This repository showcases my ability to analyze datasets using Python. The project involves exploring a dataset, calculating correlations, and identifying redundant features. This serves as a demonstration of my data analysis skills, particularly in handling numerical data and extracting insights.
##Project Overview
- Objective: Perform data analysis, identify relationships between variables, and detect redundant features.
- Tools Used:
- Python
- Pandas
- NumPy
- Seaborn
Load and clean dataset
Compute correlation matrix
Identify highly correlated features
Visualize insights
- Data set's target variable heavily relies on density and alcohol