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。

LearnQuest
您将获得的技能: 预测建模, 数据清理, 机器学习算法, 数据操作, 数据转换, 机器学习, Pandas(Python 软件包), Scikit-learn (机器学习库), 张力流, NumPy, 随机森林算法, 数据处理, 数据科学, 分类与回归树 (CART), 探索性数据分析, 生物信息学, Keras(神经网络库), 功能工程, 应用机器学习, 降维
初级 · 专项课程 · 3-6 个月
Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
中级 · 课程 · 1-4 周

您将获得的技能: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Cleansing, Data Analysis, Numerical Analysis, Data Structures, Descriptive Statistics
混合 · 课程 · 1-4 周

您将获得的技能: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Geospatial Mapping, Data Import/Export, JSON, Dashboard, Data Visualization Software, Jupyter, Web Applications
中级 · 课程 · 1-3 个月

您将获得的技能: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Import/Export
中级 · 课程 · 1-4 周

您将获得的技能: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis
混合 · 课程 · 1-4 周

您将获得的技能: Predictive Modeling, Django (Web Framework), Data Visualization, Statistical Modeling, Feature Engineering, Application Programming Interface (API), Programming Principles, Relational Databases, Databases, Development Environment, Data Science, Data Cleansing, Animation and Game Design, Authorization (Computing), Scripting Languages, Integrated Development Environments, Software Development Tools, Style Guides, Software Design
中级 · 专项课程 · 3-6 个月

University of California San Diego
您将获得的技能: Python 程序设计, 数据结构, 编程原则, 生物学, 生物信息学, 计算思维
初级 · 课程 · 1-4 周

您将获得的技能: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
混合 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Python 程序设计, 数据结构, 文件管理, 数据操作, 脚本, 编程原则, 数据处理, 生物信息学, 面向对象编程(OOP), Jupyter, 软件包和软件管理
混合 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Machine Learning Algorithms, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Science, Regression Analysis, Data Manipulation, Data Mining, Statistical Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Decision Tree Learning
攻读学位
中级 · 课程 · 1-3 个月
University of Michigan
您将获得的技能: Python 程序设计, 预测建模, 数据分析, 机器学习算法, 监督学习, 机器学习, Scikit-learn (机器学习库), 分析, 随机森林算法, 分类与回归树 (CART), 预测分析, 统计机器学习, Machine Learning 方法, 应用机器学习, 功能工程
中级 · 课程 · 1-4 周