AI Byte-Sized Series: Data Visualization
- Created By raju2006
- Last Updated December 27th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Session Description:
A short session to discover how to begin your data exploration journey using visualization tools, enhancing insights for your machine learning projects
Setup:
Because this is an abbreviated session, attendees MUST install Anaconda software https://www.anaconda.com/ and have a basic understanding of using Jupyter Notebook."
Course Code/Duration:
BDT75 / 90 Minutes
Learning Objectives:
Use Matplotlib and Seaborn libraries to explore data learn how to do following:
- Learn how to use Seborn and Matplotlib libraries
- Plot different types of charts – pie, bar, histograms to explore the data
- Visualize correlations in the dataset with the help of seaborn and matplotlib libraries "
- Learn basic understanding of python language, understanding of how to use Juypter Notebook.
- This session is designed for anyone who wants to start with machine learning and understand the tools and techniques involved in visualizing data before doing machine learning.
- This session is designed for anyone who wants to start with machine learning and understand the tools and techniques involved in visualizing data before doing machine learning.
Course Outline:
- Introduction to Data Visualization
- Plotting Different Types of Charts
- Visualizing Correlations in the Dataset
- Data Visualization Best Practices
The curriculum is empty
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