Flower Species Classifier

A Supervised Machine Learning Classification Project

By Karan Singh Solanki as ShapeAI ML Bootcamp Project

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Algorithm used: K-nearest neighbour (KNN)

Dataset used: iris_dataset (iris plants dataset) of sklearn datasets

Description...

• It takes data of various flowers, each flower having length of petals and sepals (part of a flower).
• Each flower is labelled with its species, there are total of 3 species (or classes)
• This model learns from the data of flowers and their species

The task is, whenever a new flower data is given to the model, it should predict the species of the new flower.

Note: The "ML Flower Species Classifier K-Nearest Neighbour.ipynb" and "main.py" are same code. The former is with a good explanation of what's going on with proper documentation and explanation. The latter is only python code without any documentation.