Applied data analysis techniques, including Exploratory Data Analysis (EDA), feature engineering, and machine learning models (Random Forest, Logistic Regression, Gradient Boosting), to predict crime rates in different Mumbai neighbourhoods.
Preprocessed data to handle missing values, duplicates, and outliers, and evaluated model performance using metrics like precision, recall, F1-score, and accuracy.
Generated predictions for crime rates and identified safe areas based on the model's insights.
