<h1 style=’text-align: center;’>Python for Data Science and Machine Learning Bootcamp<br>”Python数据科学与机器学习实战营”<br></h1>
<h2 style=’text-align: center;’>Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!<br>学习如何使用NumPy、Pandas、Seaborn、Matplotlib、Plotly、Scikit-Learn、机器学习、TensorFlow以及更多！<br></h2>
<h1 style=’text-align: center; color: blue;’><a href=’https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/?couponCode=LETSLEARNNOW’ style=’color: blue; text-decoration: none;’>教程演示🔗</a></h1><br>
<h3 style=’text-align: left;’>学生数量：702,894 个学生</h3><br>
<h3 style=’text-align: left;’>上次更新时间：2020年5月</h3><br>
<h3 style=’text-align: left;’>教程评分：4.6</h3><br>
<h3 style=’text-align: left;’>教程语言：英语</h3><br>
<h3 style=’text-align: left;’>教程字幕：中文、英语字幕</h3><br>
<h3 style=’text-align: left;’>本课程包括：5 个可下载资源、25 小时 长的随选视频、13 篇文章、在移动设备和电视上观看、完整的永久访问权、结业证书字幕</h3><br><br>
<h2 style=’text-align: left;’>学习内容<br></h2>
<p>1、使用Python进行数据科学和机器学习<br>
2、使用Spark进行大数据分析<br>
3、实现机器学习算法<br>
4、学会使用NumPy处理数值数据<br>
5、学会使用Pandas进行数据分析<br>
6、学会使用Python绘图库Matplotlib<br>
7、学会使用Seaborn进行统计绘图。<br>
8、使用Plotly进行交互式动态可视化。<br>
9、使用SciKit-Learn进行机器学习任务<br>
10、K-均值聚类（K-Means Clustering）<br>
11、逻辑回归（Logistic Regression）<br>
12、线性回归（Linear Regression）<br>
13、随机森林和决策树<br>
14、自然语言处理与垃圾邮件过滤器<br>
15、神经网络<br>
16、支持向量机（Support Vector Machines，SVM）<br><br></p>
<h2 style=’text-align: left;’>要求<br></h2>
<p>1、课程常见问题（FAQs）<br>
2、一些编程经验<br>
3、管理员权限下载文件<br><br></p>
<h2 style=’text-align: left;’>课程介绍<br></h2>
<p>你准备好踏上数据科学家的旅程了吗？
这门全面的课程将指导你学习如何利用Python的强大功能来分析数据、创建美观的可视化，并运用强大的机器学习算法！
根据Glassdoor的数据，数据科学家被列为排名第一的职业，且据Indeed数据显示，美国数据科学家的平均薪资超过12万美元！数据科学是一个令人满意的行业，能让你解决世界上最有趣的问题！
本课程适合初学者或有编程经验的开发者，无论你们的目标是转向数据科学！
这门详尽的课程内容丰富，相当于通常价值数千美元的数据科学训练营，但现在你可以以极低的价格学习到所有知识！课程包含超过100个高清视频讲座和每节课的详细代码笔记本，是Udemy上最全面的数据科学和机器学习课程之一！
我们将教你用Python编程、创建惊艳的数据可视化，以及如何使用Python进行机器学习！以下是部分我们将要学习的内容：
– Python编程
– NumPy与Python
– 使用pandas数据框解决复杂任务
– 如何处理Excel文件
– Python网络爬虫
– 将Python连接到SQL
– 用matplotlib和seaborn进行数据可视化
– 利用plotly制作交互式可视化
– 通过Scikit-Learn进行机器学习，包括：
– 线性回归
– K近邻算法
– K均值聚类
– 决策树
– 随机森林
– 自然语言处理
– 神经网络与深度学习
– 支持向量机
– 还有很多很多！
现在就加入课程，今天成为一名数据科学家吧！</p>
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’ />
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