A Data Analysis project which includes Data Exploration and Cleaning, Descriptive Statistics and Visualization, Advanced Data Analytics ( Popular Restaurants Analysis, Location-Based Analysis, Price Range Analysis, Clustering ). Tools and Technologies Used: Programming Languages: Python (Pandas, NumPy) Data Visualization: Matplotlib, Seaborn Machine Learning: KMeans Clustering Data Processing: Jupyter Notebook