Build Linear Regression in Python - Supervised Learning

This example is a good one to start learning applying machine learning in python. If you are new to python and machine learning this example will guide you through simple steps to run your first Supervised Learning model. As a dataset, we use the publicly available Diabetes dataset in sklearn library. The Diabetes dataset has records for 442 patients and 10 features. The features are Age, Gender, BMI, Blood Pressure, 6x Blood Serum Measurements. For simplicity, we pick the second feature which
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Statistics : Posted by DrRakha • on Fri Oct 25, 2019 6:36 am • Replies 0 • Views 601

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