About The Dataset: 'Brain Tumor' Image Data

The datasets contains total of 1401 images of brain tumor. Data is further split into two parts-
  • Training: It contains 1222 images and further divided into two parts:
      a. no_tumor: It contains 395 images
      b. pituitary_tumor: It contains 827 images
  • Testing: It contains 179 images and further divided into two parts:
      a. no_tumor: It contains 105 images
      b. pituitary_tumor: It contains 74 images
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    Practical Implementation: Google Colaboratory

    Firstly importing dependencies to do some Data Analysis and Google Colaboratory is bases on unix based system and it has pre installed libraries, we don't need to be installed any libraries.

    STEP 1

    Importing Required Libraries

    STEP 2

    Loading Dataset

    STEP 3

    Data Preprocessing & Visualization

    STEP 4

    Implement model and tweak according to accuracy

    FINISH

    Make Predictive system

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    Project Code Glimpse

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