Inspiration
We hear the term Artificial Intelligence being used very often. AI is currently powering a lot of day to day services that we use. The growth of machine learning, a subset of artificial intelligence has been eye-catching. This hype for machine learning inspired me to create this project.
What it does
This project is a machine learning model to classify 3 species of flowers namely Iris setosa, Iris virginica and Iris versicolor based on their features such as petal length, petal width etc. We use the famous Iris dataset in this project. This project particularly evaluates the performance multiple machine learning algorithm on this dataset.
How we built it
It's built using scikit-learn library in python. This library has most of the popular machine learning library pre-defined in it.
What we learned
Performance of different algorithm on Iris dataset. Based on the analysis, Neural network worked best.
What's next for Explore AI
Deep learning and computer vision, a subset of Machine learning.
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