Scikit-learn 课程
Scikit-learn 课程可以帮助您学习数据预处理、模型选择、分类技术和 Regression 分析。您可以掌握评估模型性能、Feature Engineering 和实施机器学习管道的技能。许多课程都会介绍 Jupyter Notebook 和 Python 库等工具，这些工具支持在实际项目中应用这些技能。
热门 Scikit-learn 课程和认证
状态：新状态：预览您将获得的技能: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
状态：免费试用University of Michigan
您将获得的技能: Python 程序设计, 无监督学习, Scikit-learn （机器学习库）, Pandas（Python 软件包）, 数据预处理, 自然语言处理, 监督学习, 文本挖掘, 数据操作, 功能工程, 分类算法
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Generative AI, ChatGPT, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Data Analysis, Pandas (Python Package), Software Documentation, Debugging
状态：新状态：免费试用Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
状态：预览University of Colorado Boulder
您将获得的技能: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
状态：免费试用您将获得的技能: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
状态：免费试用Microsoft
您将获得的技能: 持续监测, 模型评估, 云计算, 信息隐私, MLOps（机器学习 Operator）, 数据预处理, 微软 Azure, 负责任的人工智能, 数据安全, 模型部署, 数据伦理, 性能调整, 数据库, 数据管道, 机器学习
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
您将获得的技能: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
状态：免费试用University of Michigan
您将获得的技能: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
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 Preprocessing, Data Cleansing, Data Analysis, Numerical Analysis, Statistical Analysis, Data Structures, Descriptive Statistics
状态：预览Yonsei University
您将获得的技能: 数据分析, 无监督学习, Java, Machine Learning 方法, 监督学习, 自然语言处理, 文本挖掘, 数据预处理, 分类算法
与 scikit-learn 相关的搜索
总之，以下是 10 最受欢迎的 scikit-learn 课程
- From Raw to Ready: Data Preparation in Python: Coursera
- Python 中的应用文本挖掘: University of Michigan
- Generative AI for Developers: Unit 2: Pearson
- Deep Learning with PyTorch: Coursera
- Introduction to Python for Scientific Computing: University of Colorado Boulder
- Applied Machine Learning with Python: Edureka
- 使用 Azure 构建和运行机器学习解决方案: Microsoft
- Machine Learning Projects in R with Caret: EDUCBA
- Build a Machine Learning Image Classifier with Python: Coursera
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
