如何用Scikit- learn在Python中构建一个机器学习分类器( How To Build a Machine Learning Classifier in Python with Scikit- learn)
章节大纲
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在本教程中,你将使用 Python 的机器学习工具Scikit-learn来实现一个简单的机器学习算法。我们将利用一个乳腺癌肿瘤信息数据库,使用朴素贝叶斯(NB)分类器来预测肿瘤是恶性还是良性。
学完本教程,你将能够用 Python 构建你自己的机器学习模型。
In this tutorial, you’ll implement a simple machine learning algorithm in
Python using Scikit-learn, a machine learning tool for Python. Using a
database of breast cancer tumor information, you’ll use a Naive Bayes
(NB) classifier that predicts whether or not a tumor is malignant or
benign.
By the end of this tutorial, you’ll know how to build your very own
machine learning model in Python.