Scikit-learn 课程
Scikit-learn 课程可以帮助您学习数据预处理、模型选择和 Evaluation 技术，以及监督和非监督学习方法。您可以掌握特征工程、超参数调整以及决策树和支持向量机等算法的实施技能。许多课程还介绍了 Jupyter Notebook 和 Python 库等工具，这些工具支持应用机器学习概念和 Visualization 数据，以获得可行的见解。
Scikit-learn 热门课程和认证
状态：免费试用LearnQuest
您将获得的技能: 机器学习算法, 预测建模, 探索性数据分析, 数据处理, 数据操作, Pandas（Python 软件包）, 数据科学, 张力流, Scikit-learn （机器学习库）, 降维, NumPy, 机器学习, 数据转换, 应用机器学习, 数据清理, 功能工程, 生物信息学, Keras（神经网络库）, 随机森林算法, 分类与回归树 (CART)
状态：新状态：免费试用您将获得的技能: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Geospatial Mapping, Data Import/Export, JSON, Dashboard, Data Visualization Software, Jupyter, Web Applications
状态：新状态：免费试用您将获得的技能: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Import/Export
状态：免费试用您将获得的技能: Version Control, Continuous Integration, Functional Testing, Automation, Scripting, Web Scraping, UI Components, Hypertext Markup Language (HTML), File Management, Development Environment, Debugging, Command-Line Interface
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Django (Web Framework), Data Visualization, Statistical Modeling, Feature Engineering, Application Programming Interface (API), Programming Principles, Relational Databases, Databases, Development Environment, Data Science, Data Cleansing, Animation and Game Design, Authorization (Computing), Scripting Languages, Integrated Development Environments, Software Development Tools, Style Guides, Software Design
状态：免费试用您将获得的技能: 回归分析, 数据处理, Apache Hadoop, 数据管道, 预测建模, 监督学习, 无监督学习, Apache Spark, 机器学习, PySpark, 应用机器学习, 生成式人工智能, 数据转换, 摘录, 功能工程
状态：预览University of California San Diego
您将获得的技能: 生物学, 数据结构, 编程原则, 计算思维, Python 程序设计, 生物信息学
状态：新状态：预览您将获得的技能: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
状态：免费试用University of Michigan
您将获得的技能: 机器学习算法, 预测建模, 监督学习, Scikit-learn （机器学习库）, 分析, 机器学习, Python 程序设计, 统计机器学习, Machine Learning 方法, 数据分析, 预测分析, 应用机器学习, 随机森林算法, 功能工程, 分类与回归树 (CART)
状态：免费试用Scrimba
您将获得的技能: Object Oriented Programming (OOP), Python Programming, Data Structures, Computer Programming, Software Engineering, Performance Tuning, File Management, Web Development, Debugging, Web Development Tools
状态：新状态：免费试用您将获得的技能: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Cleansing, Data Analysis, Numerical Analysis, Data Structures, Descriptive Statistics
状态：免费试用Johns Hopkins University
您将获得的技能: 数据操作, 数据处理, 文件管理, 数据结构, 面向对象编程（OOP）, 编程原则, 脚本, 生物信息学, Jupyter, 软件包和软件管理, Python 程序设计
总之，以下是 10 最受欢迎的 scikit learn 课程
- 用于科学研究的人工智能: LearnQuest
- Intermediate Python – Libraries, Tools & Practical Projects: Packt
- Data Processing and Exploration with NumPy & Pandas: Packt
- Selenium Python Automation Testing and Frameworks: Packt
- Python - Complete Python, Django, Data Science and ML Guide: Packt
- 使用 Apache Spark 进行机器学习: IBM
- 生物学遇上编程：生物信息学入门: University of California San Diego
- Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
- 体育分析中的机器学习入门: University of Michigan
- Learn Python: 3: Scrimba
