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。

Yonsei University
您将获得的技能: 数据分析, 无监督学习, Java, Machine Learning 方法, 监督学习, 自然语言处理, 文本挖掘, 数据预处理, 分类算法
中级 · 课程 · 1-3 个月

您将获得的技能: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
混合 · 课程 · 1-4 周

Universidad Austral
您将获得的技能: Web Scraping, Data Integration, Data Preprocessing, Data Cleansing, Data Manipulation, Natural Language Processing, Jupyter, Pandas (Python Package), Scripting, Data Import/Export, Hypertext Markup Language (HTML), JavaScript Frameworks
初级 · 课程 · 1-4 周

Duke University
您将获得的技能: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Exploratory Data Analysis, Image Analysis, Data Science, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming, Data Import/Export
初级 · 课程 · 1-4 周

University of California San Diego
您将获得的技能: 模型评估, 数据分析, 无监督学习, 数据预处理, 回归分析, 统计分析, 监督学习, 预测建模, Apache Spark, 应用机器学习, 分类算法, 大数据, 探索性数据分析, 机器学习, 数据挖掘
混合 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
混合 · 课程 · 1-4 周

Alberta Machine Intelligence Institute
您将获得的技能: Python 程序设计, 模型评估, 决策树学习, Scikit-learn (机器学习库), 工艺优化, 数据预处理, 回归分析, 监督学习, 机器学习算法, 性能分析, 数据处理, 功能工程, Jupyter, 业务解决方案, 应用机器学习, 分类算法, 机器学习
混合 · 课程 · 1-4 周

Pearson
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
中级 · 课程 · 1-4 周

Universidad Austral
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Software Development Life Cycle, Text Mining, Model Deployment, Machine Learning
初级 · 课程 · 1-4 周

您将获得的技能: ChatGPT, OpenAI API, Model Deployment, LLM Application, Tool Calling, Large Language Modeling, Prompt Engineering, Application Programming Interface (API), No-Code Development, Python Programming, Software Installation, Open Source Technology, Development Environment, Data Science
初级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
混合 · 课程 · 1-3 个月

您将获得的技能: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
中级 · 课程 · 1-3 个月