letsgrowmore-tasks

Prediction Using Supervised ML

task 1 ) Iris Flowers Classification ML Project :

This particular ML project is usually referred to as the “Hello World” of Machine Learning. The iris flowers dataset contains numeric attributes, and it is perfect for beginners to learn about supervised ML algorithms, mainly how to load and handle data. Also, since this is a small dataset, it can easily fit in memory without requiring special transformations or scaling capabilities.

task 2 Prediction using Decision Tree Algorithm :

Create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

HERE I HAD USED SPYDER WITH PYTHON(3.8)