https://www.kaggle.com/datasets/kaushil268/disease-prediction-using-machine-learning/codeUsing thier dataset use machine learning algorithms ,give reasons why you chose those algorithms and explain...

Data set link / source
Kaggle.com
Link: https://www.kaggle.com/datasets/kaushil268/disease-prediction-using-machine-learning/code
Context
During the time when Machine Learning and Deep Learning are booming so much, it is very important to understand that all this knowledge is not of any use if we can’t apply it to different areas and impact the humanity. This dataset will help you apply your existing knowledge to great use. Applying Knowledge to field of Medical Science and making the task of Physician easy is the main purpose of this dataset. This dataset has 132 parameters on which 42 different types of diseases can be predicted.
Content
Complete Dataset consists of 2 CSV files. One of them is training and other is for testing your model. Each CSV file has 133 columns. 132 of these columns are symptoms that a person experiences and last column is the prognosis. These symptoms are mapped to 42 diseases you can classify these set of symptoms to. You are required to train your model on training data and test it on testing data
K-NN algorithm
· K-Nearest Neighbour is one of the simplest Machine Learning algorithms based on Supervised Learning technique.
· K-NN algorithm assumes the similarity between the new case/data and available cases and put the new case...