Abstract
It has never been easy to invest in a set of assets, the abnormality of the financial market does not allow simple models to predict future asset values with higher accuracy. Machine learning, which consists of making computers perform tasks that normally require human intelligence is currently the dominant trend in scientific research. This article aims to build a model using Machine learning Model. The main objective of this paper is to see in which precision a Machine learning algorithm can predict. Predicting crime prediction rate is a complex task that traditionally involves extensive human-computer interaction.. The network is trained and evaluated for accuracy with various sizes of data, and the results are tabulated. This project is to predict crime to make more acquainted and precise crime in the area
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