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探索 Scikit-learn 课程目录
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：免费试用您将获得的技能: 统计建模, 预测建模, 无监督学习, 监督学习, 决策树学习, 降维, 回归分析, 机器学习, 分类与回归树 (CART), 应用机器学习, Scikit-learn （机器学习库）, 功能工程
Coursera Project Network
您将获得的技能: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
状态：免费试用LearnQuest
您将获得的技能: 数据结构, Python 程序设计, 数据分析, 数据操作, 预测建模, 监督学习, 数据科学, 统计假设检验, 编程原则, 探索性数据分析, 机器学习, 回归分析, 统计方法, 分类与回归树 (CART), NumPy, Pandas（Python 软件包）, Scikit-learn （机器学习库）, 功能工程
状态：免费试用University of Michigan
您将获得的技能: 预测建模, Python 程序设计, 无监督学习, 决策树学习, 降维, 机器学习, 回归分析, 监督学习, 随机森林算法, 功能工程, 应用机器学习, Scikit-learn （机器学习库）
Coursera Project Network
您将获得的技能: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm
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: 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
状态：新状态：预览您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy
状态：免费试用您将获得的技能: Python 程序设计, 数据分析, 数据清理, 数据驱动的决策制定, 数据操作, 数据管道, 数据导入/导出, 探索性数据分析, 统计分析, 回归分析, 数据整理, 预测建模, 数据转换, NumPy, Matplotlib, Pandas（Python 软件包）, Scikit-learn （机器学习库）, 功能工程, 数据可视化
状态：新状态：免费试用您将获得的技能: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation
状态：免费试用DeepLearning.AI
您将获得的技能: 统计建模, Python 程序设计, 人工智能, 预测建模, 监督学习, 回归分析, 机器学习, 分类与回归树 (CART), 应用机器学习, Jupyter, NumPy, Scikit-learn （机器学习库）, 功能工程, 数据转换
状态：免费试用University of Michigan
您将获得的技能: 可视化（计算机制图）, 交互式数据可视化, Python 程序设计, 网络分析, 监督学习, 统计可视化, 文本挖掘, 数据可视化软件, 应用机器学习, 社交网络分析, 图论, 功能工程, Jupyter, 自然语言处理, NumPy, 数据可视化, 科学可视化, Pandas（Python 软件包）, Scikit-learn （机器学习库）, Matplotlib
总之，以下是 10 最受欢迎的 scikit learn 课程
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- 使用 Python 进行机器学习: IBM
- Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
- 数据科学和 Python scikit-learn 简介: LearnQuest
- Python 中的应用机器学习: University of Michigan
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network
- Mastering Machine Learning Algorithms using Python: Packt
- Machine Learning with PyTorch and Scikit-Learn: Packt
- 使用 Python 进行数据分析: IBM
- Python: Logistic Regression & Supervised ML: EDUCBA
