Scikit-learn 课程
Scikit-learn 课程可以帮助您学习数据预处理、模型选择、分类技术和 Regression 分析。您可以掌握评估模型性能、Feature Engineering 和实施机器学习管道的技能。许多课程都会介绍 Jupyter Notebook 和 Python 库等工具，这些工具支持在实际项目中应用这些技能。
热门 Scikit-learn 课程和认证
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
状态：免费试用您将获得的技能: Python 程序设计, Scikit-learn （机器学习库）, 降维, 监督学习, 模型评估, 机器学习, 回归分析, 决策树学习, 预测建模, 应用机器学习, 功能工程, 分类算法, 无监督学习, 逻辑回归
您将获得的技能: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, 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: Python 程序设计, Scikit-learn （机器学习库）, 决策树学习, 预测建模, 监督学习, 机器学习, 人工神经网络, 模型评估, 回归分析, 功能工程, 应用机器学习, 随机森林算法, 分类算法, 无监督学习
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, Classification Algorithms, Machine Learning, Data Analysis
状态：免费试用LearnQuest
您将获得的技能: Python 程序设计, 统计方法, 数据分析, 数据预处理, Pandas（Python 软件包）, Scikit-learn （机器学习库）, 数据操作, 数据结构, 监督学习, 机器学习算法, 探索性数据分析, 机器学习, 功能工程, 回归分析, 预测建模, 分类算法, 数据科学, 统计假设检验, NumPy
是什么让您今天来到 Coursera？
状态：免费试用University of Glasgow
您将获得的技能: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Coursera
您将获得的技能: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning
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: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining
状态：免费试用您将获得的技能: Python 程序设计, 数据分析, 数据导入/导出, 数据预处理, 数据清理, Scikit-learn （机器学习库）, 统计分析, 探索性数据分析, 回归分析, Matplotlib, Pandas（Python 软件包）, 模型评估, 预测建模, 数据操作, 数据可视化, NumPy, 数据科学, 数据转换, 数据驱动的决策制定
状态：免费试用LearnQuest
您将获得的技能: 数据预处理, Scikit-learn （机器学习库）, 张力流, 数据清理, 降维, 探索性数据分析, 生物信息学, 机器学习, 模型评估, 人工神经网络, 功能工程, 应用机器学习, Pandas（Python 软件包）, 随机森林算法, Keras（神经网络库）, 数据操作, 分类算法, 数据科学, 数据转换, NumPy
与 scikit-learn 相关的搜索
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
- Python 中的应用机器学习: University of Michigan
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
- 数据科学和 Python scikit-learn 简介: LearnQuest
- Machine Learning and its Applications: University of Glasgow
- PyCaret: Anatomy of Regression: Coursera
- Databricks Machine Learning Fundamentals: Coursera
- AI-Powered Decision Intelligence: Edureka
