Data science
Python programming
Artificial Intelligence
Concepts of AI and Data Science
Here's a shortened version of the notes: 1. Matplotlib: Python plotting library for customizable plots. 2. Seaborn: Python library for statistical graphics. 3. Plotly: Versatile library for interactive plots and dashboards. 4. Bokeh: Python library for interactive web visualizations. 5. D3.js: JavaScript library for interactive data visualizations. 6. ggplot2: R library for flexible and powerful plots. 7. Highcharts: JavaScript library for interactive web charts. 8. Tableau: Data visualization tool for interactive dashboards. 9. Power BI: Microsoft tool for data visualization and analytics.
4 Reviews
2 months ago
the kcb videos and notes are not playing
6 months ago
This module was easy to understand
7 months ago
excellent and quality
An excellence center for AI and Data Science in Kenya, Africa & the world. We offer a wide range of solutions in AI.
Very cool instructor
Florence Wanjiru Kania
What libraries are used in data visualizations? Matplotlib - Supports various plot types - integrates with other libraries - widely used Seaborn - Provides higher level interface for statistical plotting - Supports various plot types