Heart related diseases are primarily the main reason of death throughout the world and due to which a large number of casualties are arising in countries with low and middle income like India. A large amount of data is continuously generated by medical practitioners. The data generated can be used for the early detection of cardiac diseases, which can effectively support to reduce the occurrence of various heart related diseases. The decision prediction can be effectively done by enhancing the knowledge identification required to discover patterns that were not formerly known. Efficient prediction can be done by accessing the data accumulated from health care companies and industries and find hidden patterns. The proposed work uses a machine learning algorithm on cardiac-related data and attempts to detect the possibility of cardiac diseases prior to suffering from serious issues. Implementation results demonstrated in the paper show the effectiveness of the proposed approach in early prediction of cardiac diseases.