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: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: Scikit-learn （机器学习库）, 机器学习算法, 分类算法, 监督学习, 数据预处理, 业务解决方案, Model Evaluation, Python 程序设计, 数据处理, 工艺优化, 功能工程, 决策树学习, 性能分析, 机器学习, Jupyter, 应用机器学习, 回归分析
状态：免费试用您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
状态：免费试用状态：人工智能技能University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
状态：免费试用您将获得的技能: 无监督学习, 逻辑回归, Scikit-learn （机器学习库）, 分类算法, 监督学习, 降维, 预测建模, Model Evaluation, Python 程序设计, 机器学习, 应用机器学习, 功能工程, 决策树学习, 回归分析
状态：免费试用您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
是什么让您今天来到 Coursera？
状态：免费试用University of Michigan
您将获得的技能: 无监督学习, 分类算法, 监督学习, Scikit-learn （机器学习库）, 人工神经网络, 随机森林算法, Model Evaluation, 功能工程, Python 程序设计, 预测建模, 决策树学习, 回归分析, 应用机器学习, 机器学习
状态：新状态：免费试用您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, 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: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
状态：新状态：预览您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
状态：预览O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
状态：免费试用您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 scikit learn (machine learning library) 课程
- Learn & Build Machine Learning Models with Python: EDUCBA
- 机器学习算法：监督学习从头到尾: Alberta Machine Intelligence Institute
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 使用 Python 进行机器学习: IBM
- The Nuts and Bolts of Machine Learning: Google
- Python 中的应用机器学习: University of Michigan
- AI Driven Machine Learning with Python: EDUCBA
- AI Machine Learning with R & Python Projects: EDUCBA
- Machine Learning with PyTorch and Scikit-Learn: Packt
