South Africa Crime Visualization, Trends Analysis, and Prediction Using Machine Learning Linear Regression Technique

South Africa has been classified as one of the most homicidal, violent, and dangerous places across globe. However, two elements that pushed high in crime rank are rates social violence homicide. It was reported by Business Insider is among top 15 ferocious nations on earth. By 1995, rated second highest terms murder. rate reduced for some years suddenly rose again recent years. Due to Africa, foreign investors no longer interested continuing or starting a business with nation, hence, its economy declining. Africa’s government looking solutions issue redeem image country ranking boost confidence investors. Many traditional approaches data analysis crime-related studies have done but machine learning approach not adequately considered. The police station many other agencies deal hold lot databases can be used predict analyze criminal happenings provinces Africa. This research work aimed at offering solution problem building model crime. shall extract useful information from Africa's nine provinces' data. A prediction system proposed. To accomplish this, 27 categories were obtained popular repository “Kaggle.” Diverse analytics steps applied preprocess datasets, algorithm (linear regression) build predictive future appropriate authorities security insight into trends alleviate them encourage stakeholders continue their businesses.