A brain tumor is a destructive or non destructive anomalous tissue in the brain which affects the lifestyle of peoples. It affects the survival rate of the patients and even causes death. The conventional techniques for brain tumor detection is highly challenging and time consuming procedure. For the purpose of early brain tumor diagnosis, Brain Tumor Categorization (BTC) from Magnetic Resonance Imaging (MRI) images is extremely crucial. This paper provides a comprehensive review of brain tumor analysis using a Deep Learning (DL) and Machine Learning (ML) methods from MRI images. These models considerably upgrade the automated brain tumor diagnosis, and help the physicians and specialists to proficiently identify the tumor affected area. In this study, the DL techniques and the ML techniques are evaluated for the purpose of brain tumor identification using MRI scans. It significantly enhances the precision of medical assessments and treatment procedures and assists in separating healthy cells and tumor affected cells.