Matplotlib – Use in AI
Matplotlib, data visualization, AI analytics, interactive plots, real-time data visualization, machine learning model visualization, advanced plotting techniques
Skills you will gain:
Matplotlib – Use in AI is a structured 5-module course designed to guide participants through the basics to advanced data visualization techniques using Matplotlib. This course is ideal for students and professionals in AI, data science, and analytics, providing them with the skills to present data insights visually.
Aim: This course aims to teach participants how to use Matplotlib effectively to create compelling visualizations that enhance the interpretability of AI models and data analysis.
Program Objectives:
- Proficient in Data Visualization: Mastery of Matplotlib to visualize complex datasets and AI model outputs.
- Enhanced Analytical Skills: Ability to choose and implement the appropriate visualization techniques for varied data scenarios.
- Project Execution: Skills to manage and execute data visualization projects from concept to completion.
What you will learn?
- Introduction to Matplotlib:
- Basics of data visualization and setting up Matplotlib.
- Fundamental plotting techniques and customization options.
- Advanced Plotting Techniques:
- Variety of plot types like line plots, scatter plots, bar charts, and histograms.
- Data visualization best practices and aesthetic enhancements.
- Matplotlib in Machine Learning:
- Visualization strategies for exploratory data analysis and machine learning data.
- Techniques for comparing model performance and visualizing model tuning.
- Interactive Plots and Real-time Data:
- Creating interactive and dynamic visualizations.
- Handling and visualizing real-time data streams.
- Project and Capstone:
- Planning and executing visualization projects.
- Developing a comprehensive AI visualization project as a capstone.
Intended For :
- Introduction to Matplotlib:
- Basics of data visualization and setting up Matplotlib.
- Fundamental plotting techniques and customization options.
- Advanced Plotting Techniques:
- Variety of plot types like line plots, scatter plots, bar charts, and histograms.
- Data visualization best practices and aesthetic enhancements.
- Matplotlib in Machine Learning:
- Visualization strategies for exploratory data analysis and machine learning data.
- Techniques for comparing model performance and visualizing model tuning.
- Interactive Plots and Real-time Data:
- Creating interactive and dynamic visualizations.
- Handling and visualizing real-time data streams.
- Project and Capstone:
- Planning and executing visualization projects.
- Developing a comprehensive AI visualization project as a capstone.
Career Supporting Skills
