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Classification

Machine Learning using Python on Classifying Fruits

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.

Machine Learning using Python on Classifying Iris flowers

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.

End Goal:

Ultimately, this tutorial allowed me to gain an applicative experience of machine learning, which I will later conduct as a personal project.

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