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本文适合中级程序员，讲解如何使用NumPy进行数据处理，结合Matplotlib和Seaborn进行数据可视化，以及利用Scikit-Learn构建机器学习模型。介绍了numpy.array()函数，创建、修改和删除数组的方法，以及Matplotlib和Seaborn的基本用法。
作者：禅与计算机程序设计艺术
1.简介
As an AI expert with a deep understanding of machine learning algorithms and techniques, I can help you improve your skills in data manipulation, visualization, and modeling using Python libraries like NumPy, Pandas, Matplotlib, Seaborn, and Scikit-Learn.
In this article, we will cover:
- Basic Data Manipulation Using NumPy
- Basic Data Visualization Using Matplotlib and Seaborn
- Model Building for Regression Problems Using Scikit-Learn
We will also touch upon other important Python libraries such as TensorFlow or Keras that are commonly used in building complex models. You can use these to build more sophisticated models in future articles.
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