I explore the applications of Machine Learning using Python. This program was inspired by the, "Hello World-Machine Learning Recipes #1" video from Google Developers.
In this program, I import the sklearn library, along with the tree in order to enable a decision tree. In the label section of my code, although the tutorial used binary, I used a strings in order for the output to produce a specific name of the object, rather than a binary value.
I continue exploring machine learning using the, "Hello World-Machine Learning Recipes #1" video from Google Developers.
In this program, I implement a program from a dataset that has been given from skitlearn on classifying different types of flowers. Based on the given feature names, a name is configured to specify which flower is which.
Ultimately, this tutorial allowed me to gain an applicative experience of machine learning, which I will later conduct as a personal project.