It all started as a casual attempt to learn machine learning, so I began searching for interesting and challenging datasets to try out. Eventually, I came across a dataset about brain tumors, which seemed like a great fit for a small project. This dataset presented an opportunity to develop a machine learning model that could predict or classify the available data. From there, I began experimenting with various techniques and algorithms to see how well machine learning could work with this dataset. What started as a simple trial-and-error process gradually turned into an enjoyable learning experience, sparking many ideas for further exploration in technology and data.

While the model achieves great accuracy, there are rare cases of misprediction on certain images, likely due to the random nature or differing contexts of the data. Despite this, the overall performance remains impressive and reliable.