个结果，搜索词为 "scikit-learn （机器学习库）"
状态：新状态：免费试用您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning
状态：新状态：免费试用您将获得的技能: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning
状态：新状态：免费试用您将获得的技能: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
状态：新状态：免费试用您将获得的技能: Jupyter, Data Transformation, Health Informatics, Applied Machine Learning, Machine Learning, Data Processing, Predictive Modeling, Scikit Learn (Machine Learning Library), NumPy, Predictive Analytics, Analytics, Supervised Learning, Pandas (Python Package), Software Installation
状态：免费试用您将获得的技能: 机器学习, 预测建模, 回归分析, Scikit-learn （机器学习库）, 降维, 决策树学习, 统计建模, 应用机器学习, 无监督学习, 功能工程, 分类与回归树 (CART), 监督学习
状态：新状态：免费试用您将获得的技能: Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Predictive Modeling, Predictive Analytics, Credit Risk, Supervised Learning, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Manipulation
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
状态：免费试用University of Science and Technology of China
您将获得的技能: Brainstorming, Creative Thinking, Creative Problem-Solving, Problem Solving, Innovation, Adult Education, Lifelong Learning, Productivity, Workflow Management, Resourcefulness, Collaboration, Process Mapping, Quick Learning, Learning Strategies, Open Mindset, Operational Efficiency, Adaptability, Personal Development, Willingness To Learn, Self-Awareness
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University of Michigan
您将获得的技能: Python 程序设计, 机器学习, 回归分析, 预测建模, 随机森林算法, 降维, 功能工程, 决策树学习, 应用机器学习, 监督学习, Scikit-learn （机器学习库）, 无监督学习
状态：免费试用您将获得的技能: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Pipelines, PyTorch (Machine Learning Library), Jupyter, MLOps (Machine Learning Operations), Artificial Neural Networks, Machine Learning Methods, Data Transformation
状态：预览The University of Tokyo
您将获得的技能: Oral Comprehension, Vocabulary, Language Competency, Grammar, Literacy, Engineering, Scientific, and Technical Instruments, Language Learning, General Science and Research, Science and Research, Energy and Utilities, Emerging Technologies, Water Quality
总之，以下是 10 最受欢迎的 scikit-learn （机器学习库） 课程
- Machine Learning in Python: Analyze & Apply: EDUCBA
- Machine Learning with Python: Build & Optimize: EDUCBA
- Machine Learning with Python & Statistics: EDUCBA
- Machine Learning with Python: Diabetes Prediction: EDUCBA
- 使用 Python 进行机器学习: IBM
- Machine Learning with Python: Case Studies: EDUCBA
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- 职场修炼：学习、创新、协作与自我实现: University of Science and Technology of China
- NumPy & Pandas: Analyze & Transform Data: EDUCBA
- Python 中的应用机器学习: University of Michigan
