个结果，搜索词为 "scikit learn (machine learning library)"
状态：新状态：免费试用您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)
状态：新状态：免费试用您将获得的技能: Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Jupyter, Image Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Data Visualization, Machine Learning Algorithms, Amazon Web Services, Python Programming, Cloud Applications, Data Transformation, Predictive Modeling, Data Processing, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
状态：新状态：免费试用您将获得的技能: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Literacy, No-Code Development, Business Analytics, Data Science, Applied Machine Learning, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Ethics, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
状态：免费试用DeepLearning.AI
您将获得的技能: A/B 测试, 应用数学, 贝叶斯统计, 统计分析, 概率与统计, 统计推理, 抽样（统计）, 微积分, 概率分布, NumPy, 统计假设检验, 机器学习, 概率, 降维, 描述性统计, 数据转换, 数学建模, Machine Learning 方法, 数值分析, 线性代数
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: 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
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 回归分析, Scikit-learn （机器学习库）, 预测建模, 无监督学习, 监督学习, 降维, 机器学习, 决策树学习, 统计建模, 应用机器学习, 功能工程, 分类与回归树 (CART)
状态：免费试用您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
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
状态：新状态：免费试用您将获得的技能: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Statistical Methods, Applied Machine Learning, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Predictive Modeling, Decision Tree Learning
状态：新状态：免费试用您将获得的技能: Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Data Validation, Data Processing, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Data Integrity, Analysis, Statistical Analysis
状态：新状态：免费试用您将获得的技能: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Clinical Informatics, Statistical Machine Learning, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Data Mining, Data Processing, Data Analysis
总之，以下是 10 最受欢迎的 scikit learn (machine learning library) 课程
- AI Machine Learning with R & Python Projects: EDUCBA
- AI Driven Machine Learning with Python: EDUCBA
- No-Code Machine Learning and Data Science for Everyone: LearnQuest
- 机器学习和数据科学数学: DeepLearning.AI
- Machine Learning in Python: Analyze & Apply: EDUCBA
- Machine Learning with Python & Statistics: EDUCBA
- 使用 Python 进行机器学习: IBM
- The Nuts and Bolts of Machine Learning: Google
- Machine Learning with Python: Case Studies: EDUCBA
- Machine Learning with R: Build, Analyze & Predict: EDUCBA
