Crime Analytics using Machine Learning

Abstract

Crime is one of the most significant and pervasive problems in our society, and preventing it is a crucial duty. A large number of crimes are perpetrated each day. Maintaining and analyzing crime data to forecast and solve crimes is the current issue. This project analyzes a large dataset of crimes and predicts future crimes based on conditions. This project uses data science and machine learning for India's crime data prediction. Thus, Decision Tree, Logistic Regression, Multi-Regression, k-NN, Lasso & Ridge, and Random Forest are all involved in the supervised classification problem. Predicting crimes and classifying effective pattern detection and visualization equipment Utilizing crime data trends from the past allows us to correlate aspects that may help us comprehend the breadth of crimes in the future. This study uses visualization and machine learning methods to estimate future crime rates. First, raw datasets were processed and displayed.