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: 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

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

Fred Hutchinson Cancer Center
您将获得的技能: Continuous Integration, Continuous Deployment, CI/CD, GitHub, Docker (Software), Software Development, Development Environment, Test Automation, Automation, Debugging, YAML
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: 物理学, 化学, 模拟和模拟软件, 生物学, 数字教学法, 数学教育, 教学, 设计策略
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Embeddings, Data Preprocessing, Scikit Learn (Machine Learning Library), NumPy, Data Pipelines, Unstructured Data, Matplotlib, Natural Language Processing, Pandas (Python Package), Machine Learning Methods, Scripting, Model Evaluation, Scientific Visualization, Data Transformation, Machine Learning, Performance Tuning
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Feature Engineering, Continuous Integration, Kubernetes, Scikit Learn (Machine Learning Library), CI/CD, Performance Tuning, Tensorflow, Python Programming, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Containerization, Git (Version Control System)
中级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: 统计分析, 模型评估, Matplotlib, 数据分析, Python 编程, 预测建模, 探索性数据分析, 回归分析, Pandas(Python 软件包), 数据预处理, 数据操作, 数据转换, Scikit Learn(机器学习库), 预测分析, 数据可视化, 数据导入/导出, NumPy, 功能工程, 数据清理, Model Evaluation
中级 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: 模型评估, Matplotlib, Pandas(Python 软件包), 图论, 自然语言处理, 网络分析, 社交网络分析, Python 编程, 交互式数据可视化, 数据预处理, 数据操作, 数据可视化软件, 监督学习, 文本挖掘, 科学可视化, NumPy, Model Evaluation, 功能工程, 数据可视化, 可视化(计算机制图), 应用机器学习
中级 · 专项课程 · 3-6 个月

多位教师
您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 专项课程 · 1-3 个月

Coursera
您将获得的技能: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability
中级 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Forecasting, Machine Learning, Predictive Modeling, Financial Modeling, Generative AI, Time Series Analysis and Forecasting, Regression Analysis, Data Preprocessing, Credit Risk, Portfolio Management
初级 · 课程 · 1-4 周