🍽️ Swiggy Restaurant Data Analysis – India
This project explores Swiggy restaurant data across multiple Indian cities to understand
pricing patterns, ratings, cuisines, and customer preferences.
📌 Project Overview
- Cleaned and processed real-world Swiggy restaurant data
- Performed Exploratory Data Analysis (EDA)
- Built basic ML models and clustering for insights
📊 Key Analysis
- Restaurant ratings and price distribution
- Popular cuisines across cities
- Cost vs rating relationship
- Restaurant clustering using ML
🛠️ Tech Stack
- Python
- Pandas, NumPy
- Matplotlib, Seaborn
- Scikit-learn
📁 Files Included
- EDA notebooks
- ML baseline models
- Clustering analysis
- Swiggy restaurant dataset (CSV)
🎯 Outcome
This project helps understand restaurant market behavior on Swiggy and serves as a
beginner-friendly data analysis and machine learning case study.
Author: Shwet