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: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Evaluation, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture
初级 · 课程 · 1-3 个月

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

University of Michigan
您将获得的技能: 统计资料, 统计推理, 统计分析, 探索性数据分析, 数据扫盲, 概率与统计, 数据分析, 箱形图, 描述性统计, Python 编程, 数据可视化, 绘图(图形), 数据收集, Matplotlib, NumPy, 抽样(统计), Jupyter, 柱状图, 数据可视化软件, Seaborn
初级 · 课程 · 1-4 周

Sungkyunkwan University
您将获得的技能: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics
混合 · 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

您将获得的技能: Selenium (Software), Test Automation, Behavior-Driven Development, Gherkin (Scripting Language), Software Testing, Unit Testing, Test Script Development, Regression Testing, Test Case, Continuous Integration, Automation, Software Design Patterns, Web Development Tools, Maintainability, Python Programming, UI Components
初级 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
攻读学位
中级 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Model Evaluation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Statistical Methods, Matplotlib, Supervised Learning
混合 · 课程 · 1-4 周

Edureka
您将获得的技能: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression
中级 · 课程 · 1-4 周

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

您将获得的技能: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)
初级 · 课程 · 1-3 个月

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, Data Visualization, JSON, Dashboard, Data Visualization Software, Jupyter, Web Applications
中级 · 课程 · 1-3 个月