KNNClassifier

This is a collaboration for KNN Classifier uisng 3 different distance measures in the Supervised Learning course in FCAI-CU.

Authors

Load the iris data set, Set the names of columns according to the column definitions.
Display the first 5 rows of the dataset.
Split the data into train and test.
Plot 2 different scatter plots sepal_width vs sepal_length and petal_width vspetal_length.
Implement the KNN Classifier from scratch using Different distance measures:
- Manhattan
- Euclidean
- Cosine Similarity
Test the Model uisng the confusion metrics (F1 score, Precision, Accuracy, Recall).