This repository contains a collection of data analysis projects, where I explore different datasets, perform cleaning, visualization, and generate insights. The goal is to practice data handling, improve analytical skills, and demonstrate exploratory data analysis (EDA) techniques.
- Python
- Pandas
- NumPy
- Matplotlib & Seaborn
- Scikit-learn (for ML-based clustering/segmentation)
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Data visualization
- Insight generation
- Machine learning for clustering and predictions