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。

University of Michigan
您将获得的技能: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis
高级设置 · 课程 · 1-4 周

Logical Operations
您将获得的技能: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Exploratory Data Analysis, Python Programming, Virtual Machines, Computer Programming, Computer Programming Tools, Software Development
混合 · 课程 · 1-4 周
Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
中级 · 课程 · 1-4 周

University of Leeds
您将获得的技能: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science
初级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Python Programming, Classification Algorithms
高级设置 · 课程 · 1-4 周

LearnQuest
您将获得的技能: Python 编程, 机器学习, 分类算法, 无监督学习, 数据预处理, 数据转换, Scikit Learn(机器学习库), 数据清理, 降维, 随机森林算法, 预测建模, 人工神经网络, 监督学习, 应用机器学习
中级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 模型评估, 分类算法, 负责任的人工智能, Databricks, 模型部署, MLOps(机器学习运营), 人工智能和机器学习(AI/ML), 无监督学习, 机器学习, Scikit Learn(机器学习库), 预测建模, 应用机器学习, 回归分析, 虚拟机, Microsoft Azure, 数据管道, 监督学习
中级 · 课程 · 1-4 周

您将获得的技能: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis
初级 · 课程 · 1-3 个月

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

The University of Chicago
您将获得的技能: 模型评估, 统计方法, 分类算法, 深度学习, 数据预处理, 无监督学习, 机器学习, Scikit Learn(机器学习库), 张力流, 降维, 随机森林算法, 回归分析, Keras(神经网络库), 机器学习算法, Pandas(Python 软件包), 应用机器学习, 功能工程, 监督学习
中级 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
中级 · 课程 · 1-4 周