筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索 Matplotlib 课程目录
- 状态:新
Packt
您将获得的技能: NumPy, Scientific Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Visualization Software, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Mathematical Software
- 状态:免费试用
您将获得的技能: Supervised Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Data Analysis, Dimensionality Reduction
- 状态:免费试用
Edureka
您将获得的技能: Predictive Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Data Manipulation, Pandas (Python Package), NumPy
- 状态:预览
University of Michigan
您将获得的技能: Programming Principles, Computer Programming, Python Programming, Software Installation, Algorithms, Scripting, Computational Thinking, Development Environment
Duke University
您将获得的技能: Package and Software Management, Virtual Environment, Development Environment, Software Installation, Python Programming, Command-Line Interface
- 状态:新状态:免费试用
University of Michigan
您将获得的技能: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution
- 状态:免费试用
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
总之,以下是 7 最受欢迎的 matplotlib 课程
- Intro to NumPy: Packt
- Applied Machine Learning with Python: Edureka
- Predictive Modeling with Python : Edureka
- Программирование для всех (начало работы с Python): University of Michigan
- Setup Python: Duke University
- Network Modeling and Analysis in Python: University of Michigan
- Python: Istruzioni per l’uso: Università di Napoli Federico II