You are provided with 134 images of kidneys 65 percent of them are in renal failure.

The objective of this challenge is to build a machine learning model that can predict if kidneys are in renal failure from ultrasounds and to build a hub of data scientists and analysts in Cameroon.

Files available for download:

• Images.zip - contains all 133 images.
• Train.csv - contains a list of img_IDs. You will use these img_IDs to pull the corresponding images from the Images.zip. This file also indicates which images are diseased or healthy. You will use these images to train your model.
• Test.csv- contains a list of img_IDs. You will use these img_IDs to pull the corresponding images from the Images.zip. You will use these images to apply your model to and make predictions.
• SampleSubmission.csv - shows the submission format for this competition, with the ‘img_IDs’ mirroring that of Test.csv and the ‘target’ column containing your predictions. The order of the rows does not matter, but the names of the img_IDs must be correct.