Iris_Classification_v1

This release contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics chosen with the comparison of four different machine learning algorithms.

Algorithms used:

• Logistic Regression
• K-Nearest Neighbors
• Support Vector Classifier (SVC)
• Naive Bayes