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Machine learning is a subfield of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Python is a popular language for machine learning due to its simplicity and the availability of powerful libraries like Scikit-learn, TensorFlow, and Keras.
Example: Iris Flower Classification
One of the most common introductory projects in machine learning is the classification of iris flowers using the Iris dataset. This dataset contains 150 observations of iris flowers, with four features (sepal length, sepal width, petal length, and petal width) and a target variable indicating the species of the flower (Iris-setosa, Iris-versicolor, or Iris-virginica).
Step-by-Step Implementation
Your First Machine Learning Project in Python Step-By-Step
Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
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