Iris Flower Classification

Iris Flower Classification

By Sakshi Kharat

Introduction

Machine Learning:

Machine learning is a subfield of artificial intelligence (AI) that focuses on developing algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed for each specific task.

This training allows the machine learning model to make predictions, classify new data, or take actions based on the learned patterns. Various strategies are included in machine learning, such as reinforcement learning, unsupervised learning, and supervised learning. In supervised learning, the model picks up new information from data that has already been labelled and has associated target labels or outcomes. On the other hand, unsupervised learning includes identifying patterns or relationships in unlabelled data. Through trial and error, reinforcement learning focuses on teaching models to make decisions based on interactions with the environment.