个结果，搜索词为 "scikit learn (machine learning library)"
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 Neural Networks, Artificial Intelligence, Algorithms, Python Programming
状态：免费试用您将获得的技能: 机器学习, 分类算法, Scikit-learn （机器学习库）, 监督学习, 降维, 模型评估, 回归分析, 无监督学习, 决策树学习, Python 程序设计, 逻辑回归, 应用机器学习, 预测建模, 数据预处理
状态：免费试用您将获得的技能: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning
状态：免费试用University of Michigan
您将获得的技能: 机器学习, 分类算法, Scikit-learn （机器学习库）, 模型评估, 监督学习, 回归分析, Python 程序设计, 应用机器学习, 决策树学习, 人工神经网络, 随机森林算法, 功能工程, 无监督学习, 预测建模
状态：新状态：预览您将获得的技能: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
状态：新状态：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
是什么让您今天来到 Coursera？
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Embeddings, Machine Learning, Keras (Neural Network Library), Model Evaluation, Data Preprocessing, Generative AI, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Data Management, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Cloud Computing
状态：新状态：免费试用您将获得的技能: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development
状态：预览O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Convolutional Neural Networks, Machine Learning, Deep Learning, Unstructured Data, NumPy, Classification Algorithms, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Model Evaluation
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：免费试用Duke University
您将获得的技能: 机器学习, PyTorch（机器学习库）, 负责任的人工智能, Docker (软件), MLOps（机器学习 Operator）, 大数据, 人工智能和机器学习（AI/ML）, Devops, 拉斯特（编程语言）, 拥抱的脸, Microsoft Copilot, 云计算解决方案, CI/CD, 集装箱化, 应用机器学习, GitHub, 无服务器计算, 张力流
状态：免费试用DeepLearning.AI
您将获得的技能: 数据操作, 机器学习, 数据转换, 调试, 降维, 代数, NumPy, 线性代数, 应用数学, Python 程序设计, Jupyter, 高等数学
总之，以下是 10 最受欢迎的 scikit learn (machine learning library) 课程
- 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
- Databricks Machine Learning Fundamentals: Coursera
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Machine Learning on Google Cloud: Google Cloud
- Build Robust Java ML Models with Entropy: Coursera
- Machine Learning: O.P. Jindal Global University
- AI Driven Machine Learning with Python: EDUCBA
