Scikit-learn 课程
Scikit-learn 课程可以帮助您学习数据预处理、模型选择和 Evaluation 技术，以及监督和非监督学习方法。您可以掌握特征工程、超参数调整以及决策树和支持向量机等算法的实施技能。许多课程还介绍了 Jupyter Notebook 和 Python 库等工具，这些工具支持应用机器学习概念和 Visualization 数据，以获得可行的见解。
Scikit-learn 热门课程和认证
状态：免费试用您将获得的技能: 回归分析, 决策树学习, 机器学习, 无监督学习, 监督学习, 降维, Scikit-learn （机器学习库）, 预测建模, 统计建模, 分类与回归树 (CART), 功能工程, 应用机器学习
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
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University of Michigan
您将获得的技能: 回归分析, 机器学习, Scikit-learn （机器学习库）, 决策树学习, 无监督学习, 监督学习, Python 程序设计, 降维, 随机森林算法, 功能工程, 应用机器学习, 预测建模
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：免费试用LearnQuest
您将获得的技能: 回归分析, 探索性数据分析, 机器学习, 监督学习, NumPy, Python 程序设计, 编程原则, 数据操作, 数据科学, Scikit-learn （机器学习库）, 统计方法, 分类与回归树 (CART), 预测建模, 统计假设检验, 数据分析, Pandas（Python 软件包）, 功能工程, 数据结构
是什么让您今天来到 Coursera？
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
状态：免费试用您将获得的技能: 探索性数据分析, 回归分析, Matplotlib, 统计分析, 数据导入/导出, Python 程序设计, NumPy, 数据管道, 数据操作, 数据驱动的决策制定, 数据整理, 预测建模, 数据转换, 功能工程, Pandas（Python 软件包）, 数据可视化, Scikit-learn （机器学习库）, 数据分析, 数据清理
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: 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：免费试用IBM
您将获得的技能: Open Source 技术, 数据可视化软件, GitHub, Git（版本控制系统）, Python 程序设计, 机器学习, 其他编程语言, 统计编程, 版本控制, 数据科学, 云计算, 开发环境, 大数据, 计算机编程工具, R 语言程序设计（中文版）, Query 语言, IBM 云, Jupyter, R（软件）
状态：免费试用DeepLearning.AI
您将获得的技能: 回归分析, 机器学习, Python 程序设计, NumPy, 应用机器学习, 数据转换, 预测建模, 分类与回归树 (CART), Scikit-learn （机器学习库）, 统计建模, 人工智能, 监督学习, 功能工程, Jupyter
总之，以下是 10 最受欢迎的 scikit learn 课程
- 使用 Python 进行机器学习: IBM
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Scikit-Learn For Machine Learning Classification Problems: Coursera
- Python 中的应用机器学习: University of Michigan
- Machine Learning with Python: Build & Optimize: EDUCBA
- 数据科学和 Python scikit-learn 简介: LearnQuest
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
- 使用 Python 进行数据分析: IBM
- Machine Learning with PyTorch and Scikit-Learn: Packt
- Mastering Machine Learning Algorithms using Python: Packt
