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。

您将获得的技能: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis
初级 · 课程 · 1-3 个月

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

Università di Napoli Federico II
您将获得的技能: Object Oriented Programming (OOP), Python Programming, Computer Programming, Scripting Languages, Programming Principles, Data Management, Debugging, Database Management, Functional Testing, Databases
初级 · 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
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中级 · 课程 · 1-3 个月

Università di Napoli Federico II
您将获得的技能: Responsible AI
初级 · 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

O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning
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初级 · 课程 · 1-3 个月

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: Seaborn, Matplotlib, NumPy, Scatter Plots, Data Visualization Software, Box Plots, Histogram, Jupyter, Heat Maps, Data Manipulation, Development Environment, Package and Software Management
混合 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, 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: 回归分析, 数据处理, 机器学习, 监督学习, 业务解决方案, 机器学习算法, 性能分析, Python 程序设计, Scikit-learn (机器学习库), 功能工程, 性能指标, Jupyter, 分类与回归树 (CART), 应用机器学习
混合 · 课程 · 1-4 周